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AI system self-organises to develop features of brains of complex organisms

Graphic representing an artificially intelligent brain

source: www.cam.ac.uk

Cambridge scientists have shown that placing physical constraints on an artificially-intelligent system – in much the same way that the human brain has to develop and operate within physical and biological constraints – allows it to develop features of the brains of complex organisms in order to solve tasks.

Not only is the brain great at solving complex problems, it does so while using very little energyJascha Achterberg

As neural systems such as the brain organise themselves and make connections, they have to balance competing demands. For example, energy and resources are needed to grow and sustain the network in physical space, while at the same time optimising the network for information processing. This trade-off shapes all brains within and across species, which may help explain why many brains converge on similar organisational solutions.

Jascha Achterberg, a Gates Scholar from the Medical Research Council Cognition and Brain Sciences Unit (MRC CBSU) at the University of Cambridge said: “Not only is the brain great at solving complex problems, it does so while using very little energy. In our new work we show that considering the brain’s problem solving abilities alongside its goal of spending as few resources as possible can help us understand why brains look like they do.”

Co-lead author Dr Danyal Akarca, also from the MRC CBSU, added: “This stems from a broad principle, which is that biological systems commonly evolve to make the most of what energetic resources they have available to them. The solutions they come to are often very elegant and reflect the trade-offs between various forces imposed on them.”

In a study published today in Nature Machine Intelligence, Achterberg, Akarca and colleagues created an artificial system intended to model a very simplified version of the brain and applied physical constraints. They found that their system went on to develop certain key characteristics and tactics similar to those found in human brains.

Instead of real neurons, the system used computational nodes. Neurons and nodes are similar in function, in that each takes an input, transforms it, and produces an output, and a single node or neuron might connect to multiple others, all inputting information to be computed.

In their system, however, the researchers applied a ‘physical’ constraint on the system. Each node was given a specific location in a virtual space, and the further away two nodes were, the more difficult it was for them to communicate. This is similar to how neurons in the human brain are organised.

The researchers gave the system a simple task to complete – in this case a simplified version of a maze navigation task typically given to animals such as rats and macaques when studying the brain, where it has to combine multiple pieces of information to decide on the shortest route to get to the end point.

One of the reasons the team chose this particular task is because to complete it, the system needs to maintain a number of elements – start location, end location and intermediate steps – and once it has learned to do the task reliably, it is possible to observe, at different moments in a trial, which nodes are important. For example, one particular cluster of nodes may encode the finish locations, while others encode the available routes, and it is possible to track which nodes are active at different stages of the task.

Initially, the system does not know how to complete the task and makes mistakes. But when it is given feedback it gradually learns to get better at the task. It learns by changing the strength of the connections between its nodes, similar to how the strength of connections between brain cells changes as we learn. The system then repeats the task over and over again, until eventually it learns to perform it correctly.

With their system, however, the physical constraint meant that the further away two nodes were, the more difficult it was to build a connection between the two nodes in response to the feedback. In the human brain, connections that span a large physical distance are expensive to form and maintain.

When the system was asked to perform the task under these constraints, it used some of the same tricks used by real human brains to solve the task. For example, to get around the constraints, the artificial systems started to develop hubs – highly connected nodes that act as conduits for passing information across the network.

More surprising, however, was that the response profiles of individual nodes themselves began to change: in other words, rather than having a system where each node codes for one particular property of the maze task, like the goal location or the next choice, nodes developed a flexible coding scheme. This means that at different moments in time nodes might be firing for a mix of the properties of the maze. For instance, the same node might be able to encode multiple locations of a maze, rather than needing specialised nodes for encoding specific locations. This is another feature seen in the brains of complex organisms.

Co-author Professor Duncan Astle, from Cambridge’s Department of Psychiatry, said: “This simple constraint – it’s harder to wire nodes that are far apart – forces artificial systems to produce some quite complicated characteristics. Interestingly, they are characteristics shared by biological systems like the human brain. I think that tells us something fundamental about why our brains are organised the way they are.”

Understanding the human brain

The team are hopeful that their AI system could begin to shed light on how these constraints, shape differences between people’s brains, and contribute to differences seen in those that experience cognitive or mental health difficulties.

Co-author Professor John Duncan from the MRC CBSU said: “These artificial brains give us a way to understand the rich and bewildering data we see when the activity of real neurons is recorded in real brains.”

Achterberg added: “Artificial ‘brains’ allow us to ask questions that it would be impossible to look at in an actual biological system. We can train the system to perform tasks and then play around experimentally with the constraints we impose, to see if it begins to look more like the brains of particular individuals.”

Implications for designing future AI systems

The findings are likely to be of interest to the AI community, too, where they could allow for the development of more efficient systems, particularly in situations where there are likely to be physical constraints.

Dr Akarca said: “AI researchers are constantly trying to work out how to make complex, neural systems that can encode and perform in a flexible way that is efficient. To achieve this, we think that neurobiology will give us a lot of inspiration. For example, the overall wiring cost of the system we’ve created is much lower than you would find in a typical AI system.”

Many modern AI solutions involve using architectures that only superficially resemble a brain. The researchers say their works shows that the type of problem the AI is solving will influence which architecture is the most powerful to use.

Achterberg said: “If you want to build an artificially-intelligent system that solves similar problems to humans, then ultimately the system will end up looking much closer to an actual brain than systems running on large compute cluster that specialise in very different tasks to those carried out by humans. The architecture and structure we see in our artificial ‘brain’ is there because it is beneficial for handling the specific brain-like challenges it faces.”

This means that robots that have to process a large amount of constantly changing information with finite energetic resources could benefit from having brain structures not dissimilar to ours.

Achterberg added: “Brains of robots that are deployed in the real physical world are probably going to look more like our brains because they might face the same challenges as us. They need to constantly process new information coming in through their sensors while controlling their bodies to move through space towards a goal. Many systems will need to run all their computations with a limited supply of electric energy and so, to balance these energetic constraints with the amount of information it needs to process, it will probably need a brain structure similar to ours.”

The research was funded by the Medical Research Council, Gates Cambridge, the James S McDonnell Foundation, Templeton World Charity Foundation and Google DeepMind.

Reference
Achterberg, J & Akarca, D et al. Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings. Nature Machine Intelligence; 20 Nov 2023; DOI: 10.1038/s42256-023-00748-9



The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Innovative aquaculture system turns waste wood into nutritious seafood

Naked Clams in wooden growth panel

source: www.cam.ac.uk

Researchers hoping to rebrand a marine pest as a nutritious food have developed the world’s first system of farming shipworms, which they have renamed ‘Naked Clams’.

Naked Clams taste like oysters, they’re highly nutritious and they can be produced with a really low impact on the environment.Dr David Willer

These long, white saltwater clams are the world’s fastest-growing bivalve and can reach 30cm long in just six months. They do this by burrowing into waste wood and converting it into highly-nutritious protein.

The researchers found that the levels of Vitamin B12 in the Naked Clams were higher than in most other bivalves – and almost twice the amount found in blue mussels.

And with the addition of an algae-based feed to the system, the Naked Clams can be fortified with omega-3 polyunsaturated fatty acids – nutrients essential for human health.

Shipworms have traditionally been viewed as a pest because they bore through any wood immersed in seawater, including ships, piers and docks.

The researchers developed a fully-enclosed aquaculture system that can be completely controlled, eliminating the water quality and food safety concerns often associated with mussel and oyster farming.

And the modular design means it can be used in urban settings, far from the sea.

“Naked Clams taste like oysters, they’re highly nutritious and they can be produced with a really low impact on the environment,” said Dr David Willer, Henslow Research Fellow at the University of Cambridge’s Department of Zoology and first author of the report.

He added: “Naked Clam aquaculture has never been attempted before. We’re growing them using wood that would otherwise go to landfill or be recycled, to produce food that’s high in protein and essential nutrients like Vitamin B12.”

Scientifically named Teredinids, these creatures have no shell, but are classed as bivalve shellfish and related to oysters and mussels.

Because the Naked Clams don’t put energy into growing shells, they grow much faster than mussels and oysters which can take two years to reach a harvestable size.

The report is published today in the journal Sustainable Agriculture.

Wild shipworms are eaten in the Philippines – either raw, or battered and fried like calamari. But for British consumers, the researchers think Naked Clams will be more popular as a ‘white meat’ substitute in processed foods like fish fingers and fishcakes.

“We urgently need alternative food sources that provide the micronutrient-rich profile of meat and fish but without the environmental cost, and our system offers a sustainable solution,” said Dr Reuben Shipway at the University of Plymouth’s School of Biological & Marine Sciences, senior author of the report.

He added: “Switching from eating beef burgers to Naked Clam nuggets may well become a fantastic way to reduce your carbon footprint.”

The research is a collaboration between the Universities of Cambridge and Plymouth, and has attracted funding from sources including The Fishmongers’ Company, British Ecological Society, Cambridge Philosophical Society, Seale-Hayne Trust, and BBSRC

The team is now trialling different types of waste wood and algal feed in their system to optimise the growth, taste and nutritional profile of the Naked Clams – and is working with Cambridge Enterprise to scale-up and commercialise the system.

Reference

Willer, D.F. et al: ‘Naked Clams to open a new sector in sustainable nutritious food production.’ Sustainable Agriculture, Nov 23. DOI: 10.1038/s44264-023-00004-y



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Lab-grown ‘small blood vessels’ point to potential treatment for major cause of stroke and vascular dementia

Disease mural cells

source: www.cam.ac.uk

Cambridge scientists have grown small blood vessel-like models in the lab and used them to show how damage to the scaffolding that supports these vessels can cause them to leak, leading to conditions such as vascular dementia and stroke.

Despite the number of people affected worldwide by small vessel disease, we have little in the way of treatments because we don’t fully understand what damages the blood vessels and causes the diseaseAlessandra Granata

The study, published today in Stem Cell Reports, also identifies a drug target to ‘plug’ these leaks and prevent so-called small vessel disease in the brain.

Cerebral small vessel disease (SVD) is a leading cause of age-related cognitive decline and contributes to almost half (45%) of dementia cases worldwide. It is also responsible for one in five (20%) ischemic strokes, the most common type of stroke, where a blood clot prevents the flow of blood and oxygen to the brain.

The majority of cases of SVD are associated with conditions such as hypertension and type 2 diabetes, and tend to affect people in their middle age. However, there are some rare, inherited forms of the disease that can strike people at a younger age, often in their mid-thirties. Both the inherited and ‘spontaneous’ forms of the disease share similar characteristics.

Scientists at the Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, used cells taken from skin biopsies of patients with one of these rare forms of SVD, which is caused by a mutation in a gene called COL4.

By reprogramming the skin cells, they were able to create induced pluripotent stem cells – cells that have the capacity to develop into almost any type of cell within the body. The team then used these stem cells to generate cells of the brain blood vessels and create a model of the disease that mimics the defects seen in patients’ brain vessels.

Dr Alessandra Granata from the Department of Clinical Neurosciences at Cambridge, who led the study, said: “Despite the number of people affected worldwide by small vessel disease, we have little in the way of treatments because we don’t fully understand what damages the blood vessels and causes the disease. Most of what we know about the underlying causes tends to come from animal studies, but they are limited in what they can tell us.

“That’s why we turned to stem cells to generate cells of the brain blood vessels and create a disease model ‘in a dish’ that mimics what we see in patients.”

Our blood vessels are built around a type of scaffolding known as an extracellular matrix, a net-like structure that lines and supports the small blood vessels in the brain. The COL4 gene is important for the health of this matrix.

In their disease model, the team found that the extracellular matrix is disrupted, particularly at its so-called ‘tight junctions’, which ‘zip’ cells together. This leads to the small blood vessels becoming leaky – a key characteristic seen in SVD, where blood leaks out of the vessels and into the brain.

The researchers identified a class of molecules called metalloproteinases (MMPs) that play a key role in this damage. Ordinarily, MMPs are important for maintaining the extracellular matrix, but if too many of them are produced, they can damage the structure – similar to how in The Sorcerer’s Apprentice, a single broom can help mop the floor, but too many wreak havoc.

When the team treated the blood vessels with drugs that inhibit MMPs – an antibiotic and anti-cancer drug – they found that these reversed the damage and stopped the leakage.

Dr Granata added: “These particular drugs come with potentially significant side effects so wouldn’t in themselves be viable to treat small vessel disease. But they show that in theory, targeting MMPs could stop the disease. Our model could be scaled up relatively easily to test the viability of future potential drugs.”

The study was funded by the Stroke Association, British Heart Foundation and Alzheimer’s Society, with support from the NIHR Cambridge Biomedical Research Centre and the European Union’s Horizon 2020 Programme.

Reference
Al-Thani, M, Goodwin-Trotman, M. A novel human 1 iPSC model of COL4A1/A2 small vessel disease unveils a key pathogenic role of matrix metalloproteinases. Stem Cell Reports; 16 Nov 2023; DOI: https://doi.org/10.1016/j.stemcr.2023.10.014



The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Solar-powered device produces clean water and clean fuel at the same time

Device for making solar fuels on the River Cam near the Bridge of Sighs

source: www.cam.ac.uk

A floating, solar-powered device that can turn contaminated water or seawater into clean hydrogen fuel and purified water, anywhere in the world, has been developed by researchers.

These are the sorts of solutions we will need to develop a truly circular economy and sustainable futureErwin Reisner

The device, developed by researchers at the University of Cambridge, could be useful in resource-limited or off-grid environments, since it works with any open water source and does not require any outside power.

It takes its inspiration from photosynthesis, the process by which plants convert sunlight into food. However, unlike earlier versions of the ‘artificial leaf’, which could produce green hydrogen fuel from clean water sources, this new device operates from polluted or seawater sources and can produce clean drinking water at the same time.

Tests of the device showed it was able to produce clean water from highly polluted water, seawater, and even from the River Cam in central Cambridge. The results are reported in the journal Nature Water.

“Bringing together solar fuels production and water purification in a single device is tricky,” said Dr Chanon Pornrungroj from Cambridge’s Yusuf Hamied Department of Chemistry, the paper’s co-lead author. “Solar-driven water splitting, where water molecules are broken down into hydrogen and oxygen, need to start with totally pure water because any contaminants can poison the catalyst or cause unwanted chemical side-reactions.”

“In remote or developing regions, where clean water is relatively scarce and the infrastructure necessary for water purification is not readily available, water splitting is extremely difficult,” said co-lead author Ariffin Mohamad Annuar. “A device that could work using contaminated water could solve two problems at once: it could split water to make clean fuel, and it could make clean drinking water.”

Pornrungroj and Mohamad Annuar, who are both members of Professor Erwin Reisner’s research group, came up with a design that did just that. They deposited a photocatalyst on a nanostructured carbon mesh that is a good absorber of both light and heat, generating the water vapour used by the photocatalyst to create hydrogen. The porous carbon mesh, treated to repel water, served both to help the photocatalyst float and to keep it away from the water below, so that contaminants do not interfere with its functionality.

In addition, the new device uses more of the Sun’s energy. “The light-driven process for making solar fuels only uses a small portion of the solar spectrum – there’s a whole lot of the spectrum that goes unused,” said Mohamad Annuar.

The team used a white, UV-absorbing layer on top of the floating device for hydrogen production via water splitting. The rest of the light in the solar spectrum is transmitted to the bottom of the device, which vaporises the water.

“This way, we’re making better use of the light – we get the vapour for hydrogen production, and the rest is water vapour,” said Pornrungroj. “This way, we’re truly mimicking a real leaf, since we’ve now been able to incorporate the process of transpiration.”

A device that can make clean fuel and clean water at once using solar power alone could help address the energy and the water crises facing so many parts of the world. For example, the indoor air pollution caused by cooking with ‘dirty’ fuels, such as kerosene, is responsible for more than three million deaths annually, according to the World Health Organization. Cooking with green hydrogen instead could help reduce that number significantly. And 1.8 billion people worldwide still lack safe drinking water at home.

“It’s such a simple design as well: in just a few steps, we can build a device that works well on water from a wide variety of sources,” said Mohamad Annuar.

“It’s so tolerant of pollutants, and the floating design allows the substrate to work in very cloudy or muddy water,” said Pornrungroj. “It’s a highly versatile system.”

“Our device is still a proof of principle, but these are the sorts of solutions we will need if we’re going to develop a truly circular economy and sustainable future,” said Reisner, who led the research. “The climate crisis and issues around pollution and health are closely related, and developing an approach that could help address both would be a game-changer for so many people.”

The research was supported in part by the European Commission’s Horizon 2020 programme, The European Research Council, the Cambridge Trust, the Petronas Education Sponsorship Programme, and the Winton Programme for the Physics of Sustainability. Erwin Reisner is a Fellow of St John’s College. Chanon Pornrungroj is a member of Darwin College, and Ariffin Mohamad Annuar is a member of Clare College.

Reference:
Chanon Pornrungroj, Ariffin Bin Mohamad Annuar et al. ‘Hybrid photothermal-photocatalyst sheets for solar-driven overall water splitting coupled to water purification.’ Nature Water (2023). DOI: 10.1038/s44221-023-00139-9



The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

The Vice-Chancellor’s Dialogues: Is assisted dying compassionate, or dangerous for society?

Vice-Chancellor Professor Deborah Prentice chaired the first Vice-Chancellor’s Dialogues

source: www.cam.ac.uk

On Wednesday 8th November Vice-Chancellor Professor Deborah Prentice chaired the first Vice-Chancellor’s Dialogues. The event launched a series of dialogues about some of the most difficult issues of our time.

There are two purposes to these events. The first, is to establish whether there is any common ground between people who may seem to be far apart. If we are to make progress in legislation or in understanding the world we live in, we need to identify where we agree as well as where we disagree. The second, is to ensure discussions involve the widest range of viewpoints – that nothing, within the law, is taboo and that freedom of speech and of thought, and of academic debate, is upheld.

The first event tackled, literally, a matter of life and death: the question of whether assisted dying is compassionate, or dangerous for society.

The speakers were:

  • Dr Jonathan Romain, who was appointed Chair of Dignity in Dying, the UK’s leading campaign for a change in the law on assisted dying, in June 2023
  • Dr Amy Proffitt, who spoke for Dying Well, the group promoting access to excellent care at the end of life and standing against the legalisation of assisted suicide
  • Dr Zoë Fritz, a Wellcome fellow in Society and Ethics at the University of Cambridge, and a Consultant Physician in Acute medicine at Addenbrooke’s Hospital. She works with colleagues in the Faculties of Law and Philosophy to ensure solutions are philosophically grounded and legally robust, as well as clinically practical and acceptable to all stakeholders.

The full recording can be viewed on the University YouTube channel.



The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Why do climate models underestimate polar warming? ‘Invisible clouds’ could be the answer

Polar Stratospheric Clouds, also called mother of pearl clouds

source: www.cam.ac.uk

Stratospheric clouds over the Arctic may explain the differences seen between the polar warming calculated by climate models and actual recordings, according to researchers from the University of Cambridge and UNSW Sydney.

Our study shows the value of increasing the detail of climate models where we canDeepashree Dutta

The Earth’s average surface temperature has increased drastically since the start of the Industrial Revolution, but the warming effect seen at the poles is even more exaggerated. While existing climate models consider the increased heating in the Arctic and Antarctic poles, they often underestimate the warming in these regions. This is especially true for climates millions of years ago, when greenhouse gas concentrations were very high.

This is a problem because future climate projections are generated with these same models: if they do not produce enough warming for the past, we might underestimate polar warming – and therefore the associated risks, such as ice sheet or permafrost melting – for the future.

“During my PhD, I was drawn to the fact that the climate models we are using do not represent the magnitude of warming that happens in the Arctic,” said lead author Dr Deepashree Dutta from Cambridge’s Department of Geography, who carried out the work during her PhD at UNSW. “At the same time, we knew that the majority of these models do not represent the upper layers of the atmosphere very well. And we thought this might be a missing link.”

The team turned their focus to a key atmospheric element that is missing in most models — polar stratospheric clouds — and found that they can explain a large part of the missing warming in models.

Their results, published in the journal Nature Geoscience, show that there is still much to learn about the climate of the past, present and future.

Climate models are computer simulations of our global climate system that are built using our theoretical understanding of how the climate works. They can be used to recreate past conditions or predict future climate scenarios.

Climate models incorporate many factors that influence the climate, but they cannot include all real-world processes. One consequence of this is that generally, climate models simulate polar climate change that is smaller than actual observations.

“The more detail you include in the model, the more resources they require to run,” said co-author Dr Martin Jucker from UNSW. “It’s often a toss-up between increasing the horizontal or vertical resolution of the model. And as we live down here at the surface of the earth, the detail closer to the surface is often prioritised.”

In 1992, American paleoclimatologist Dr Lisa Sloan first suggested that the extreme warming at high latitudes during past warm periods may have been caused by polar stratospheric clouds.

Polar stratospheric clouds form at very high altitudes (15-25 km above the Earth’s surface), and at very low temperatures (over the poles). They are also called nacreous or mother-of-pearl clouds because of their bright and sometimes luminous hues, although they are not normally visible to the naked eye. 

These polar stratospheric clouds have a similar effect on climate as greenhouse gases – they trap heat that would otherwise be lost to space and warm the surface of the Earth. 

“These clouds form under complex conditions, which most climate models cannot reproduce. And we wondered if this inability to simulate these clouds may result in less surface warming at the poles than what we’ve observed in the real world,” said Dutta. 

Thirty years after Sloan’s research, Dutta wanted to test this theory using one of the few atmospheric models that incorporates polar atmospheric clouds, to see if it might explain the disparities in warming between observational data and climate models.

“I wanted to test this theory by running an atmospheric model that includes all necessary processes with conditions that resembled a time period over 50 million years ago, known as the early Eocene. It was a period of Earth’s history when the planet was very hot and the Arctic was ice-free throughout the year,” said Dutta. 

The Eocene was also a period characterised by high methane content, and the position of continents and mountains was different to today.

“Climate models are far too cold in the polar regions, when simulating these past hot climates, and this has been an enigma for the past thirty years,” said Jucker. “The early Eocene was a period in the Earth’s climate with extreme polar warming, so presented the perfect test for our climate models.”

The team found that the elevated methane levels during the Eocene resulted in an increase in polar stratospheric cloud formation. They found that under certain conditions, the local surface warming due to stratospheric clouds was up to 7 degrees Celsius during the coldest winter months. This temperature difference significantly reduces the gap between climate models and temperature evidence from climate archives.

By comparing future simulations to simulations of the Eocene, the researchers also discovered that it isn’t just methane that was needed to produce polar stratospheric clouds. “This is another key finding of this work,” said Dutta. “It’s not just methane, but it’s also the Earth’s continental arrangement, which plays an important role in forming these stratospheric clouds. Because if we input the same amount of methane for our future climate, we do not see the same increase in stratospheric clouds.”

The research has provided some of the answers to questions about the climate of the deep past, but what does that mean for future projections?

“We found that stratospheric clouds account for the accelerated warming at the poles that is often left out of our climate models, and of course this could potentially mean that our future projections are also not warm enough,” said Jucker. “But the good news is that these clouds are more likely to form under the continental arrangement that was present tens of millions of years ago, and is not found on Earth now. Therefore, we don’t expect such large increases in stratospheric clouds in the future.”

This new research has not only helped to provide a piece of the puzzle as to why temperature recordings in the Arctic are always warmer than climate models – it has also provided new insights into the Earth’s past climate.

“Our study shows the value of increasing the detail of climate models, where we can,” said Dutta. “Although we already know a lot about these clouds theoretically, until we include them in our climate models, we won’t know the full scale of their impact.”

Reference:
Deepashree Dutta et al. ‘Early Eocene low orography and high methane enhance Arctic warming via polar stratospheric clouds.’ Nature Geoscience (2023). DOI: 10.1038/s41561-023-01298-w

Adapted from a UNSW press release.



The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Machine learning gives users ‘superhuman’ ability to open and control tools in virtual reality

HotGestures give users ‘superhuman’ ability to open and control tools in virtual reality

https://www.youtube-nocookie.com/embed/3kNFvhU5ntU?wmode=opaque&controls=1&rel=0&autohide=0&enablejsapi=1&origin=https%3A%2F%2Fwww.cam.ac.uk

source: www.cam.ac.uk

Researchers have developed a virtual reality application where a range of 3D modelling tools can be opened and controlled using just the movement of a user’s hand. 

We need new ways of interacting with technology, and we think this is a step in that directionPer Ola Kristensson

The researchers, from the University of Cambridge, used machine learning to develop ‘HotGestures’ – analogous to the hot keys used in many desktop applications.

HotGestures give users the ability to build figures and shapes in virtual reality without ever having to interact with a menu, helping them stay focused on a task without breaking their train of thought.

The idea of being able to open and control tools in virtual reality has been a movie trope for decades, but the researchers say that this is the first time such a ‘superhuman’ ability has been made possible. The results are reported in the journal IEEE Transactions on Visualization and Computer Graphics.

Virtual reality (VR) and related applications have been touted as game-changers for years, but outside of gaming, their promise has not fully materialised. “Users gain some qualities when using VR, but very few people want to use it for an extended period of time,” said Professor Per Ola Kristensson from Cambridge’s Department of Engineering, who led the research. “Beyond the visual fatigue and ergonomic issues, VR isn’t really offering anything you can’t get in the real world.”

Most users of desktop software will be familiar with the concept of hot keys – command shortcuts such as ctrl-c to copy and ctrl-v to paste. While these shortcuts omit the need to open a menu to find the right tool or command, they rely on the user having the correct command memorised.

“We wanted to take the concept of hot keys and turn it into something more meaningful for virtual reality – something that wouldn’t rely on the user having a shortcut in their head already,” said Kristensson, who is also co-Director of the Centre for Human-Inspired Artificial Intelligence.

Instead of hot keys, Kristensson and his colleagues developed ‘HotGestures’, where users perform a gesture with their hand to open and control the tool they need in 3D virtual reality environments.

For example, performing a cutting motion opens the scissor tool, and the spray motion opens the spray can tool. There is no need for the user to open a menu to find the tool they need, or to remember a specific shortcut. Users can seamlessly switch between different tools by performing different gestures during a task, without having to pause their work to browse a menu or to press a button on a controller or keyboard.

“We all communicate using our hands in the real world, so it made sense to extend this form of communication to the virtual world,” said Kristensson.

For the study, the researchers built a neural network gesture recognition system that can recognise gestures by performing predictions on an incoming hand joint data stream. The system was built to recognise ten different gestures associated with building 3D models: pen, cube, cylinder, sphere, palette, spray, cut, scale, duplicate and delete.

The team carried out two small studies where participants used HotGestures, menu commands or a combination. The gesture-based technique provided fast and effective shortcuts for tool selection and usage. Participants found HotGestures to be distinctive, fast, and easy to use while also complementing conventional menu-based interaction. The researchers designed the system so that there were no false activations – the gesture-based system was able to correctly recognise what was a command and what was normal hand movement. Overall, the gesture-based system was faster than a menu-based system.

“There is no VR system currently available that can do this,” said Kristensson. “If using VR is just like using a keyboard and a mouse, then what’s the point of using it? It needs to give you almost superhuman powers that you can’t get elsewhere.”

The researchers have made the source code and dataset publicly available so that designers of VR applications can incorporate it into their products.

“We want this to be a standard way of interacting with VR,” said Kristensson. “We’ve had the tired old metaphor of the filing cabinet for decades. We need new ways of interacting with technology, and we think this is a step in that direction. When done right, VR can be like magic.”

The research was supported in part by the Engineering and Physical Sciences Research Council (EPSRC), part of UK Research and Innovation (UKRI).

Reference:
Zhaomou Song; John J Dudley; Per Ola Kristensson. ‘HotGestures: Complementing Command Selection and Use with Delimiter-Free Gesture-Based Shortcuts in Virtual Reality.’ IEEE Transactions on Visualization and Computer Graphics (2023). DOI: 10.1109/TVCG.2023.3320257



The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Experts predict ‘catastrophic ecosystem collapse’ of UK forests within the next 50 years if action not taken

Woodland

source: www.cam.ac.uk

Other threats to UK forests include competition with society for water, viral diseases, and extreme weather affecting forest management.

The next 50 years will bring huge changes to UK forests: the threats they face, the way that we manage them, and the benefits they deliver to society.Dr Eleanor Tew, visiting researcher at Cambridge’s Department of Zoology and Head of Forest Planning at Forestry England

A team of experts from across Europe has produced a list of 15 over-looked and emerging issues that are likely to have a significant impact on UK forests over the next 50 years.

This is the first ‘horizon scanning’ exercise – a technique to identify relatively unknown threats, opportunities, and new trends – of UK forests. The aim is to help researchers, practitioners, policymakers, and society in general, better prepare for the future and address threats before they become critical.

Dr Eleanor Tew, first author, visiting researcher at Cambridge’s Department of Zoology and Head of Forest Planning at Forestry England said: “The next 50 years will bring huge changes to UK forests: the threats they face, the way that we manage them, and the benefits they deliver to society.”

Forestry England, a part of the Forestry Commission, collaborated with the University of Cambridge on the study, which was published today in the journal, Forestry.

A panel comprising 42 experts, who represented a range of professions, organisations, and geographies, reached out to their networks to seek over-looked and emerging issues that were likely to affect UK forests over the next half a century. The resulting 180-item longlist was then whittled down through a series of review exercises to a shortlist of 30 issues. In a final workshop, panellists identified the top 15 issues they believed were likely to have the greatest impact on UK forests in the next 50 years.

The research method did not support the overall ranking of the 15 issues in order of importance or likelihood of occurrence. However, when the issues were scored individually by the panel of experts, it was notable that ‘catastrophic forest ecosystem collapse’ was the most highly ranked issue, with 64% of experts ranking it as their top issue and 88% ranking it within their top three.

‘Catastrophic forest ecosystem collapse’ refers to multiple interrelated hazards that have a cascading effect on forests, leading to their total or partial collapse. This has already been witnessed in continental Europe and North America.

Tew said: “We hope the results from this horizon scanning exercise serve as an urgent call to action to build on, and dramatically upscale, action to increase forest resilience.”

Another issue identified was that droughts caused by climate change may lead to competition for water resources between forests and society. On the other hand, forests may help to mitigate the impact of floods caused by climate change.

Tree viral diseases were also identified as an issue. In the UK, pests and pathogens are increasing due to globalisation and climate change, with viruses and viroids (RNA molecules) being the largest group on the UK Plant Health Risk Register. However, little is known about how viral diseases affect forest tree species and indeed the wider ecosystem.

A further issue was the effect of climate change on forest management, with extreme weather leading to smaller windows of time when forestry can be carried out. Experts warn that the seasons for carrying out work such as harvesting and thinning are getting narrower as we see wetter winters and scorching summers.

However not all emerging issues are threats – some are new opportunities. For example, trees will be at the heart of future urban planning. Experts predict that ‘forest lungs’ will be created thanks to an increased understanding of the benefits of trees for society. They say there will likely be a greater blurring of boundaries between urban and rural areas, with an increase in green infrastructure and connectivity.

International commitments around nature are also likely to have repercussions at the local level. For example, the mandatory reporting of companies’ supply chain impacts on nature, such as through the new framework being developed by the Taskforce on Nature-related Financial Disclosures (TNFD), could create additional incentives for nature-friendly forest management.

Tew concluded: “These results are both concerning and exciting. However, we should be optimistic, remembering that these are possibilities and not certainties. Crucially, we have time to act ‒ by responding to the threats and embracing the opportunities, future generations can have resilient forests with all the benefits they offer.”

Senior author and pioneer of horizon scanning, Professor Bill Sutherland, from the Department of Zoology at the University of Cambridge said: “We are already seeing dramatic events in Europe’s forests whether fires, disease or bark beetles, whilst the importance of trees is increasingly recognised. Horizon scanning to identify future issues is key, especially as trees planted now will face very different circumstances as they mature in scores of years.”

This research was funded by Forestry England. The Forestry Commission is bringing the sector together in 2024 to look at next steps.

Tew et al, A horizon scan of issues affecting UK forest management within 50 years, Forestry DOI: 10.1093/forestry/cpad047



The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Cambridge provides English learning platform for Ukraine

Students studying online.

source: www.cam.ac.uk

People in Ukraine will be able to improve their English using an online learning platform specially developed by the University of Cambridge, in collaboration with Cambridge University Press & Assessment, and technology companies Amazon Web Services and Catalyst IT.

It is part of the new Future Perfect programme – initiated by the President of Ukraine and being launched by the Ukrainian government – which aims to make English the official language of international communication in Ukraine and open up new professional and personal opportunities for Ukrainians.

The organisations combined their expertise following a request for help from the Ukrainian government to support Ukraine’s education sector and enhance foreign language learning for both teachers and students, many of whom have been displaced by the war.

As well as helping Ukraine grow international relationships and enable Ukrainians to make better use of other support they have received from the international community since Russia invaded in February 2022, the Future Perfect programme aims to contribute to the rebuilding of the economy after the war.

Thousands of college and university students are among the adult and young adult learners who Ukraine hopes will benefit from the English language learning platform, the first project under the umbrella of Future Perfect and based on Cambridge University Press & Assessment’s Empower course which provides a mix of engaging classroom materials and online learning.

Cambridge is committed to doing all it can to assist teachers and learners in Ukraine, making its educational excellence available to colleges and universities, and enabling students to continue their studies despite the unprecedented challenges Russia’s illegal invasion has created.

Professor Kamal Munir, Pro-Vice-Chancellor for University Community and Engagement at Cambridge University, said: “The University – as part of its Help for Ukraine package of educational support – acted as soon as the Ukrainian government asked for support with English language learning, drawing on expertise from across our departments.

“Key to creating a platform for such a specific audience, learning in such challenging circumstances, was the technical skills of teams within the academic University, and the knowledge and experience of colleagues at Cambridge University Press & Assessment. They have produced in months a resource that would normally take years to deliver.”

The first-of-its kind project saw Cambridge teams – in partnership with e-learning experts Catalyst IT – combine academic expertise from the University, and curriculum expertise from Cambridge University Press & Assessment to create the online platform and provide learning course materials.

Amazon Web Services (AWS) will host the platform on its cloud infrastructure. By using AWS Cloud, the platform will have the ability to dynamically scale to meet future demand for the course, enabling the course content to be available to users anytime from anywhere, all delivered from a highly secure environment. Leveraging the cloud means innovation can be a continuous cycle, ensuring the platform can accommodate future technology developments.

Cambridge will support the launch of the platform – which is being supplied free of charge – before it is handed over to the Digital Ministry of Ukraine.

Fran Woodward, Global Managing Director for English at Cambridge University Press & Assessment, said: “Future Perfect reflects a great ambition for Ukrainian education. This will open doors for Ukrainians who want to improve their English language skills, and will support new global economic opportunities. We are delighted to support English language education in Ukraine and we wish Ukrainian teachers and students every success.”

Valeriya Ionan, Ukraine’s Deputy Minister of Digital Transformation for European Integration, said: “The full-scale invasion re-emphasizes the importance of developing the skills of our people, and the value of inclusive education. We believe in the transformative power of education to facilitate the skills that can reduce the unemployment rate as English language proficiency is directly correlated to GDP. The Ministry of Digital Transformation of Ukraine expresses gratitude to Cambridge University and Amazon Web Services along with Catalyst IT as the technology leaders for the strategic support”.

Dmytro Zavgorodnii, Deputy Minister of Education and Science of Ukraine, for digital development, digital transformations and digitalization, said: “Speaking English multiplies opportunities for literally every citizen in Ukraine. For some, it is a chance to find a dream job and for others it is a tool to connect with people or events around the world. Regardless of your future or current occupation, English is essential. Thanks to Cambridge University, Amazon Web Service and Catalyst IT, we now have a well-timed approach to develop our population’s skills”.

Joey Murison, Managing Director of Catalyst IT, said: “It has been our pleasure to support this great initiative for the students of Ukraine. Our expertise as world leaders in the maintenance and management of online learning platforms for the higher education sector has enabled us to deliver the platform in record time. We look forward to providing our ongoing support now and into the future for the benefit of the students of Ukraine.”

Liam Maxwell, Director, Government Transformation, at Amazon Web Services said: “We’re pleased to collaborate on this initiative that will give Ukrainians the opportunity to enhance their English language skills. Building the Empower platform on the cloud will give the Ukrainian Government the flexibility to dynamically scale the environment to meet the demand for the course, and enables the content to be made available remotely and securely to students. We look forward to seeing the course launch, and hope it has a positive impact on the professional growth of the Ukrainian students who take part.”

Cambridge University Help for Ukraine

Cambridge University Help for Ukraine is a developing package of support announced by the University last year. It has also created fully funded residential placements in a wide range of subjects for students and academics, clinical placements for medical students, and help for academics still working in Ukraine.

About Cambridge University Press & Assessment

Cambridge University Press & Assessment supports millions of English language learners worldwide, working with tens of thousands of organisations in more than 130 countries and territories. Last year it was announced that other English language teaching and learning resources were being made available at no cost as part of Cambridge’s support for the Ukrainian education sector.



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Chimpanzees use hilltops to conduct reconnaissance on rival groups

Chimpanzees are seen attentively listening to other chimpanzees heard at some distance in the West African forests of Côte d’Ivoire, studied as part of research by the Taï Chimpanzee Project

source: www.cam.ac.uk

Research on neighbouring chimpanzee communities in the forests of West Africa suggests a warfare tactic not previously seen beyond humans is regularly used by our closest evolutionary relatives.

Tactical warfare is considered a driver of human evolutionSylvain Lemoine

Chimpanzees use high ground to conduct reconnaissance on rival groups, often before making forays into enemy territory at times when there is reduced risk of confrontation, a new study suggests.

Tactical use of elevated terrain in warfare situations is considered unique to humans – until now. For the first time, one of the oldest military strategies has been observed in our closest evolutionary relatives.

Researchers conducted a three-year study of two neighbouring chimpanzee groups in the West African forests of Côte d’Ivoire, tracking the primates as they traversed their respective territories, including an overlapping border area where skirmishes occasionally took place.

The team found that chimpanzees were more than twice as likely to climb hills when heading towards this contested frontier as when they were travelling into the heart of their own territory.*

While atop border hills, chimpanzees were more likely to refrain from noisily eating or foraging and spend time quietly resting – enabling them to hear distant sounds of rival groups, say researchers.

The further away the location of hostile chimpanzees, the greater the likelihood of an advance into dangerous territory upon descending the hill. This suggests that chimpanzees on high ground gauge the distance of rivals, and act accordingly to make incursions while avoiding costly fights.  

Other mammal species such as meerkats use high ground to keep watch for predators or call to mates. However, researchers say this is the first evidence for an animal other than humans making strategic use of elevation to assess the risks of “intergroup conflict”.

“Tactical warfare is considered a driver of human evolution,” said Dr Sylvain Lemoine, a biological anthropologist from the University of Cambridge’s Department of Archaeology, and lead author of the study published in the journal PLOS Biology.

“This chimpanzee behaviour requires complex cognitive abilities that help to defend or expand their territories, and would be favoured by natural selection.”

“Exploiting the landscape for territorial control is deeply rooted in our evolutionary history. In this use of war-like strategy by chimpanzees we are perhaps seeing traces of the small scale proto-warfare that probably existed in prehistoric hunter-gatherer populations.”

The study was conducted at the Taï Chimpanzee Project, where Lemoine worked during his PhD. The project is currently led by study senior author Dr Roman Wittig from CNRS in France.

Teams of researchers spend 8-12 hours a day following four groups that are habituated to the presence of humans. It is one of the few sites where data is collected simultaneously on multiple communities of wild chimpanzees. 

The project researchers have GPS trackers, through which the study authors were able to reproduce maps of two chimpanzee territories that border each other, including elevation data. These were matched to old French colonial maps to confirm topography.

Each group consisted of 30-40 adult chimpanzees at any one time. The study used over 21,000 hours of track logs from a total of 58 animals recorded between 2013 and 2016. 

To establish and protect their territory, chimpanzees perform regular tours of the periphery that form a sort of “border patrol”, says Lemoine. “Patrols are often conducted in subgroups that stay close and limit noise. As an observer, you get a sense that patrolling has begun. They move and stop at the same time, a bit like a hunt,” he said.

The type of hills near the border used for reconnaissance are known as “inselbergs”: isolated rocky outcrops that break up the forest canopy. Chimpanzees repeatedly returned to some of these inselbergs, where time on the summit was passed in a more muted state.

“These aren’t so much lookout points as listen-out points,” said Lemoine. “Chimpanzees drum on tree trunks and make excitable vocalisations called pant-hoots to communicate with group members or assert their territory. These sounds can be heard over a kilometre away, even in dense forest.”

“It may be that chimpanzees climb hilltops near the edge of their territory when they have yet to hear signs of rival groups. Resting quietly on an elevated rock formation is an ideal condition for the auditory detection of distant adversaries.”

Researchers analysed tactical movements in the half an hour after a stop longer than five minutes on a hill near the border, and compared it to movements after stops in low-lying border areas.

Following a hilltop recce, the likelihood of advancing into enemy territory increased from 40% when rivals were 500 metres away, to 50% when rivals were at 1000m, to 60% when rivals were at 3000m.    

“Chimpanzees often expand their territory by encroaching and patrolling in that of their neighbours. Hilltop information-gathering will help them to do this while reducing risks of encountering any enemies,” said Lemoine. “The border zone between the two groups was in a state of flux.” 

More territory can boost food provision and mating chances, says Lemoine. His previous work suggests that larger chimpanzee groups live in bigger territories with reduced pressure from rivals, which in turn increases birth rates within communities.

The latest research suggests that chimpanzees use hilltop reconnaissance to avoid confrontation, and violence is relatively rare, says Lemoine. But fights, and even kidnappings and killings, did occur between rival group members.

“Occasionally, raiding parties of two or three males venture deep into enemy territory, which can lead to fighting. Confrontations between rival chimpanzees are extremely noisy. The animals go into an intimidating frenzy, screaming and defecating and gripping each other’s genitals.”

*Chimpanzees stopped on peripheral hills in 58% of movements heading towards the border, but in only 25% of the movements heading towards the centre of their territory.



The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

AI trained to identify least green homes by Cambridge researchers

Street view images of Cambridge houses showing building features contributing to HtD identification

source: www.cam.ac.uk

First of its kind AI-model can help policymakers efficiently identify and prioritize houses for retrofitting and other decarbonizing measures.

This is the first time that AI has been trained to identify hard-to-decarbonize buildingsRonita Bardhan

‘Hard-to-decarbonize’ (HtD) houses are responsible for over a quarter of all direct housing emissions – a major obstacle to achieving net zero – but are rarely identified or targeted for improvement.

Now a new ‘deep learning’ model trained by researchers from Cambridge University’s Department of Architecture promises to make it far easier, faster and cheaper to identify these high priority problem properties and develop strategies to improve their green credentials.

Houses can be ‘hard to decarbonize’ for various reasons including their age, structure, location, social-economic barriers and availability of data. Policymakers have tended to focus mostly on generic buildings or specific hard-to-decarbonise technologies but the study, published in the journal Sustainable Cities and Society, could help to change this.

Maoran Sun, an urban researcher and data scientist, and his PhD supervisor Dr Ronita Bardhan (Selwyn College), who leads Cambridge’s Sustainable Design Group, show that their AI model can classify HtD houses with 90% precision and expect this to rise as they add more data, work which is already underway.

Dr Bardhan said: “This is the first time that AI has been trained to identify hard-to-decarbonize buildings using open source data to achieve this.

“Policymakers need to know how many houses they have to decarbonize, but they often lack the resources to perform detail audits on every house. Our model can direct them to high priority houses, saving them precious time and resources.”

The model also helps authorities to understand the geographical distribution of HtD houses, enabling them to efficiently target and deploy interventions efficiently.

The researchers trained their AI model using data for their home city of Cambridge, in the United Kingdom. They fed in data from Energy Performance Certificates (EPCs) as well as data from street view images, aerial view images, land surface temperature and building stock. In total, their model identified 700 HtD houses and 635 non-HtD houses. All of the data used was open source.

Maoran Sun said: “We trained our model using the limited EPC data which was available. Now the model can predict for the city’s other houses without the need for any EPC data.”

Bardhan added: “This data is available freely and our model can even be used in countries where datasets are very patchy. The framework enables users to feed in multi-source datasets for identification of HtD houses.”

Sun and Bardhan are now working on an even more advanced framework which will bring additional data layers relating to factors including energy use, poverty levels and thermal images of building facades. They expect this to increase the model’s accuracy but also to provide even more detailed information.

The model is already capable of identifying specific parts of buildings, such as roofs and windows, which are losing most heat, and whether a building is old or modern. But the researchers are confident they can significantly increase detail and accuracy.

They are already training AI models based on other UK cities using thermal images of buildings, and are collaborating with a space products-based organisation to benefit from higher resolution thermal images from new satellites. Bardhan has been part of the NSIP – UK Space Agency program where she collaborated with the Department of Astronomy and Cambridge Zero on using high resolution thermal infrared space telescopes for globally monitoring the energy efficiency of buildings.

Sun said: “Our models will increasingly help residents and authorities to target retrofitting interventions to particular building features like walls, windows and other elements.”

Bardhan explains that, until now, decarbonization policy decisions have been based on evidence derived from limited datasets, but is optimistic about AI’s power to change this.

“We can now deal with far larger datasets. Moving forward with climate change, we need adaptation strategies based on evidence of the kind provided by our model. Even very simple street view photographs can offer a wealth of information without putting anyone at risk.”

The researchers argue that by making data more visible and accessible to the public, it will become much easier to build consensus around efforts to achieve net zero.

“Empowering people with their own data makes it much easier for them to negotiate for support,” Bardhan said.

She added: “There is a lot of talk about the need for specialised skills to achieve decarbonisation but these are simple data sets and we can make this model very user friendly and accessible for the authorities and individual residents.”

Cambridge as a study site

Cambridge is an atypical city but informative site on which to base the initial model. Bardhan notes that Cambridge is relatively affluent meaning that there is a greater willingness and financial ability to decarbonise houses.

“Cambridge isn’t ‘hard to reach’ for decarbonisation in that sense,” Bardhan said. “But the city’s housing stock is quite old and building bylaws prevent retrofitting and the use of modern materials in some of the more historically important properties. So it faces interesting challenges.”

The researchers will discuss their findings with Cambridge City Council. Bardhan previously worked with the Council to assess council houses for heat loss. They will also continue to work with colleagues at Cambridge Zero and the University’s Decarbonisation Network.

Reference

M Sun & R Bardhan, ‘Identifying Hard-to-Decarbonize houses from multi-source data in Cambridge, UK’, Sustainable Cities and Society (2023). DOI: 10.1016/j.scs.2023.105015



The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Cambridge, Intel and Dell join forces on UK’s fastest AI supercomputer

Dr Paul Calleja, Director of Dawn AI Service (left) and Professor Richard McMahon, Chair of Cambridge Research Computing Advisory Group and UKRI Dawn Principal Investigator (right) in front of Dawn.

source: www.cam.ac.uk

The Cambridge Open Zettascale Lab is hosting Dawn, the UK’s fastest artificial intelligence (AI) supercomputer, which has been built by the University of Cambridge Research Computing Services, Intel and Dell Technologies.

Dawn Phase 1 represents a huge step forward in AI and simulation capability for the UK, deployed and ready to use nowPaul Calleja

Dawn has been created via a highly innovative long-term co-design partnership between the University of Cambridge, UK Research & Innovation, the UK Atomic Energy Authority and global tech leaders Intel and Dell Technologies. This partnership brings highly valuable technology first-mover status and inward investment into the UK technology sector.

Dawn, supported by UK Research and Innovation (UKRI), will vastly increase the country’s AI and simulation compute capacity for both fundamental research and industrial use, accelerating research discovery and driving growth within the UK knowledge economy. It is expected to drive significant advancements in healthcare, green fusion energy development and climate modelling.

Dawn Phase 1 and the already announced Isambard AI supercomputer at the University of Bristol will join to form the AI Research Resource (AIRR), a UK national facility to help researchers maximise the potential of AI and support critical work into the potential and safe use of the technology.

Dr Paul Calleja, Director of Research Computing Services at the University of Cambridge, said: “Dawn Phase 1 represents a huge step forward in AI and simulation capability for the UK, deployed and ready to use now. Dawn was born from an innovative co-design partnership between University of Cambridge, UKAEA, Dell Technologies and Intel.

“The Phase 1 system plays an important role within a larger context, where this co-design activity is hoped to continue, aiming to deliver a Phase 2 supercomputer in 2024 which will boast 10 times the level of performance. If taken forward, Dawn Phase 2 would significantly boost the UK AI capability and continue this successful industry partnership.”

World-leading technical teams from the University, Intel and Dell Technologies built Dawn, which harnesses the power of both AI and high-performance computing (HPC) to solve some of the world’s most challenging and pressing problems.

Announcing this investment at the AI Safety Summit at Bletchley Park, Science, Innovation and Technology Secretary Michelle Donelan said: “Frontier AI models are becoming exponentially more powerful. At our AI Safety Summit in Bletchley Park, we have made it clear that Britain is grasping the opportunity to lead the world in adopting this technology safely so we can put it to work and lead healthier, easier and longer lives.

“This means giving Britain’s leading researchers and scientific talent access to the tools they need to delve into how this complicated technology works. That is why we are investing in building UK’s supercomputers, making sure we cement our place as a world-leader in AI safety.”

Professor Emily Shuckburgh, Director of Cambridge Zero and the Institute of Computing for Climate Science said: “The coupling of AI and simulation methods is a growing and increasingly essential part of climate research. It is central to data-driven predictions and equation discovery, both of which are at the fore in climate science.

“This incredible new resource – Dawn – at Cambridge will enable software engineers and researchers at the Institute of Computing for Climate Science to accelerate their work helping to address the global challenges associated with climate change.”

Dawn brings the UK closer to reaching the compute threshold of a quintillion floating point operations per second – one exaflop, better known as exascale. For perspective: every person on earth would have to make calculations 24 hours a day for more than four years to equal a second’s worth of processing power in an exascale system.

Hosted at Cambridge Open Zettascale Lab’s site, Dawn is the fastest AI supercomputer deployed in the UK today and will support some of the UK’s largest-ever workloads across both academic research and industrial domains. Importantly, it is the UK’s first step on the road to developing future Exascale system.

Adam Roe, EMEA HPC technical director at Intel, said: “Dawn considerably strengthens the scientific and AI compute capability available in the UK, and it’s on the ground, operational today at the Cambridge Open Zettascale Lab.

“I’m very excited to see the sorts of early science this machine can deliver and continue to strengthen the Open Zettascale Lab partnership between Dell Technologies, Intel and the University of Cambridge, and further broaden that to the UK scientific and AI community.”

Tariq Hussain, Head of UK Public Sales, Dell Technologies, said: “Collaborations like [this one], alongside strong inward investment, are vital if we want compute to unlock the high-growth AI potential of the UK. It is paramount that the government invests in the right technologies and infrastructure to ensure the UK leads in AI and exascale-class simulation capability.

“It’s also important to embrace the full spectrum of the technology ecosystem, including GPU diversity, to ensure customers can tackle the growing demands of generative AI, industrial simulation modelling and ground-breaking scientific research.”

Dr Rob Akers, Director of Computing Programmes & Senior Fellow at UKAEA, added: “Dawn will form an essential part of a diverse UKRI supercomputing ecosystem, helping to promote high-fidelity simulation and AI capability ensuring that UK science and engineering is first in the queue to exploit the latest innovation in disruptive HPC hardware. In the short term, Dawn will allow UKAEA’s fusion energy programme to form a powerful and exciting cross-Atlantic partnership with US labs exploiting the new 2ExaFlop AURORA supercomputer at Argonne, Dawn’s ‘big sister’.

“Fusion has long been referred to as an ‘exascale grand challenge’. The exascale is finally upon us and I firmly believe that the many collaborations coalescing around Dawn will be a powerful ingredient for extracting value promised by the exascale – for the UK to deliver fusion power to grid in the 2040’s, to realise Net Zero more generally, to seed high value UK jobs in AI and ‘digital’ and to drive economic growth across the entire United Kingdom.”



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Cancer drug could hold hope for treating inflammatory diseases including gout and heart diseases

The feet of a man suffering from gout.

source: www.cam.ac.uk

A cancer drug currently in the final stages of clinical trials could offer hope for the treatment of a wide range of inflammatory diseases, including gout, heart failure, cardiomyopathy, and atrial fibrillation, say scientists at the University of Cambridge.

We believe [our findings] could be important in preventing a number of common diseases that can cause pain and disability and in some cases can lead to life-threatening complicationsXuan Li

In a study published on 1 November in the Journal of Clinical Investigation, the researchers have identified a molecule that plays a key role in triggering inflammation in response to materials in the body seen as potentially harmful.

We are born with a defence system known as innate immunity, which acts as the first line of defence against harmful materials in the body. Some of these materials will come from outside, such as bacterial or viral infections, while others can be produced within the body.

Innate immunity triggers an inflammatory response, which aims to attack and destroy the perceived threat. But sometimes, this response can become overactive and can itself cause harm to the body.

One such example of this is gout, which occurs when urate crystals build up in joints, causing excessive inflammation, leading to intense pain. Another example is heart attack, where dead cell build up in the damaged heart – the body sees itself as being under attack and an overly-aggressive immune system fights back, causing collateral damage to the heart.

Several of these conditions are characterised by overactivation of a component of the innate immune response known as an inflammasome – specifically, the inflammasome NLRP3. Scientists at the Victor Phillip Dahdaleh Heart and Lung Research Institute at Cambridge have found a molecule that helps NLRP3 respond.

This molecule is known as PLK1. It is involved in a number of processes within the body, including helping organise tiny components of our cells known as microtubules cytoskeletons. These behave like train tracks inside of the cell, allowing important materials to be transported from one part of the cell to another.

Dr Xuan Li from the Department of Medicine at the University of Cambridge, the study’s senior author, said: “If we can get in the way of the microtubules as they try to organise themselves, then we can in effect slow down the inflammatory response, preventing it from causing collateral damage to the body. We believe this could be important in preventing a number of common diseases that can cause pain and disability and in some cases can lead to life-threatening complications.”

But PLK1 also plays another important role in the body – and this may hold the key to developing new treatments for inflammatory diseases.

For some time now, scientists have known that PLK1 is involved in cell division, or mitosis, a process which, when it goes awry, can lead to runaway cell division and the development of tumours. This has led pharmaceutical companies to test drugs that inhibit its activity as potential treatments for cancer. At least one of these drugs is in phase three clinical trials – the final stages of testing how effective a drug is before it can be granted approval.

When the Cambridge scientists treated mice that had developed inflammatory diseases with a PLK1 inhibitor, they showed that it prevented the runaway inflammatory response – and at a much lower dose than would be required for cancer treatment. In other words, inhibiting the molecule ‘calmed down’ NLRP3 in non-dividing cells, preventing the overly aggressive inflammatory response seen in these conditions.

The researchers are currently planning to test its use against inflammatory diseases in clinical trials.

“These drugs have already been through safety trials for cancer – and at higher doses than we think we would need – so we’re optimistic that we can minimise delays in meeting clinical and regulatory milestones,” added Dr Li.

“If we find that the drug is effective for these conditions, we could potentially see new treatments for gout and inflammatory heart diseases – as well as a number of other inflammatory conditions – in the not-too-distant future.”

The research was funded by the British Heart Foundation. Professor James Leiper, Associate Medical Director at the British Heart Foundation said: “This innovative research has uncovered a potential new treatment approach for inflammatory heart diseases such as heart failure and cardiomyopathy. It’s promising that drugs targeting PLK1 – that work by dampening down the inflammatory response – have already been proven safe and effective in cancer trials, potentially helping accelerate the drug discovery process.

“We hope that this research will open the door for new ways to treat people with heart diseases caused by overactive and aggressive immune responses, and look forward to more research to uncover how this drug could be could be repurposed.”

Reference
Baldrighi, M et al. PLK1 inhibition dampens NLRP3 inflammasome-elicited response in inflammatory disease models. JCI; 1 Nov 2023; DOI: 10.1172/JCI162129



The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Offset markets: new approach could help save tropical forests by restoring faith in carbon credits

Tropical forest in Tanzania

source: www.cam.ac.uk

A new way to price carbon credits could encourage desperately needed investment in forest preservation and boost vital progress towards net-zero.

Our new approach has the potential to address market concerns around nature-based solutions to carbon offsetting.Srinivasan Keshav

A new approach to valuing the carbon storage potential of natural habitats aims to help restore faith in offset schemes, by enabling investors to directly compare carbon credit pricing across a wide range of projects.

Current valuation methods for forest conservation projects have come under heavy scrutiny, leading to a crisis of confidence in carbon markets. This is hampering efforts to offset unavoidable carbon footprints, mitigate climate change, and scale up urgently needed investment in tropical forest conservation.

Measuring the value of carbon storage is not easy. Recent research revealed that as little as 6% of carbon credits from voluntary REDD+ schemes result in preserved forests. And the length of time these forests are preserved is critical to the climate benefits achieved.

Now, a team led by scientists at the University of Cambridge has invented a more reliable and transparent way of estimating the benefit of carbon stored because of forest conservation.  

The method is published today in the journal Nature Climate Change. In it, the researchers argue that saving tropical forests is not only vital for biodiversity, but also a much less expensive way of balancing emissions than most of the current carbon capture and storage technologies.

The new approach works a bit like a lease agreement: carbon credits are issued to tropical forest projects that store carbon for a predicted amount of time. The valuation is front-loaded, because more trees protected now means less carbon released to the atmosphere straight away.

The technique involves deliberately pessimistic predictions of when stored carbon might be released, so that the number of credits issued is conservative. But because forests can now be monitored by remote sensing, if projects do better than predicted – which they usually will – they can be rewarded through the issue of further credits.

The payments encourage local people to protect forests: the carbon finance they receive can help provide alternative livelihoods that don’t involve cutting down trees.

And by allowing for future payments, the new method generates incentives for safeguarding forests long after credits have been issued. This contrasts with the current approach, which passes on a burden for conservation to future generations without compensation for lost livelihoods.

The approach also allows different types of conservation projects to be compared in a like-for-like manner.

“Until now there hasn’t been a satisfactory way of directly comparing technological solutions with nature-based solutions for carbon capture. This has caused a lack of enthusiasm for investing in carbon credits linked to tropical forest protection,” said Dr Tom Swinfield, a researcher in the University of Cambridge’s Department of Zoology and senior author of the study.

He added: “Tropical forests are being cleared so quickly that if we don’t protect them now, we’re not going to make the vital progress we need towards net-zero. Buying carbon credits linked to their protection is one of the best ways to do this.”

Tropical forests play a key role in taking carbon dioxide out of the atmosphere, helping to reduce global warming and avert climate catastrophe. But the carbon they capture is not taken out of the atmosphere permanently: forests can be destroyed by pests, floods, fire, wind – and by human clearance.

This impermanence, and therefore the difficulty of reliably measuring the long-term climate benefit of tropical forest protection, has made it an unattractive proposition for investors wanting to offset their carbon emissions.

And this is despite it being a far cheaper investment than more permanent, technology-based methods of carbon capture and storage.

Protection of tropical forests, a nature-based solution to climate change, comes with additional benefits: helping to conserve biodiversity, and supporting the livelihoods of people living near the forests.

“Nature-based carbon solutions are highly undervalued right now because the market doesn’t know how to account for the fact that forests aren’t a permanent carbon storage solution. Our method takes away a lot of the uncertainties,” said Anil Madhavapeddy, a Professor in the University of Cambridge’s Department of Computer Science and Technology, who was involved in the study.

The new method, developed by scientists at the Universities of Cambridge and Exeter and the London School of Economics, is called ‘Permanent Additional Carbon Tonne’ (PACT) accounting, and can be used to value a wide range of nature-based solutions.

“Carbon finance is a way for us – the carbon emitters of the richer world – to direct funds towards rural communities in the tropics so they can get more out of the land they have, without cutting down more trees,” said Andrew Balmford, Professor of Conservation Science at the University of Cambridge and first author of the paper.

Co-author Srinivasan Keshav, Robert Sansom Professor of Computer Science at Cambridge added: “Our new approach has the potential to address market concerns around nature-based solutions to carbon offsetting, and lead to desperately needed investment.”

Conversion of tropical forest to agricultural land results in vast carbon emissions. Around 30% of all progress towards the ambitious net-zero commitments made at COP26 is reliant on better management of carbon in nature.

Other carbon credit investment options include technologies that remove carbon dioxide from the atmosphere and lock it deep in the Earth for hundreds of years. These permanent storage options may currently be easier to value, say the researchers, but they typically cost substantially more than nature-based solutions and do nothing to protect natural habitats that are vital in regulating the global climate and mitigating the extinction crisis.

The research was funded primarily by the Tezos Foundation. It was conducted by researchers at the Cambridge Centre for Carbon Credits.

Reference: Balmford, A. et al.: ‘Realising the social value of impermanent carbon credits.’ Nature Climate Change, October 2023. DOI: 10.1038/s41558-023-01815-0

Srinivasan Keshav explains more about the work here.

More information about Cambridge PACT.



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Using lasers to ‘heat and beat’ 3D-printed steel could help reduce costs

Retrieval of a stainless steel part made by 3D printing

source: www.cam.ac.uk

Researchers have developed a new method for 3D printing metal that could help reduce costs and make more efficient use of resources.

This method could help reduce the costs of metal 3D printing, which could in turn improve the sustainability of the metal manufacturing industryMatteo Seita

The method, developed by a research team led by the University of Cambridge, allows structural modifications to be ‘programmed’ into metal alloys during 3D printing, fine-tuning their properties without the ‘heating and beating’ process that’s been in use for thousands of years.

The new 3D printing method combines the best qualities of both worlds: the complex shapes that 3D printing makes possible, and the ability to engineer the structure and properties of metals that traditional methods allow. The results are reported in the journal Nature Communications.

3D printing has several advantages over other manufacturing methods. For example, it’s far easier to produce intricate shapes using 3D printing, and it uses far less material than traditional metal manufacturing methods, making it a more efficient process. However, it also has significant drawbacks.

“There’s a lot of promise around 3D printing, but it’s still not in wide use in industry, mostly because of high production costs,” said Dr Matteo Seita from Cambridge’s Department of Engineering, who led the research. “One of the main drivers of these costs is the amount of tweaking that materials need after production.”

Since the Bronze Age, metal parts have been made through a process of heating and beating. This approach, where the material is hardened with a hammer and softened by fire, allows the maker to form the metal into the desired shape and at the same time impart physical properties such as flexibility or strength.

“The reason why heating and beating is so effective is because it changes the internal structure of the material, allowing control over its properties,” said Seita. “That’s why it’s still in use after thousands of years.”

One of the major downsides of current 3D printing techniques is an inability to control the internal structure in the same way, which is why so much post-production alteration is required. “We’re trying to come up with ways to restore some of that structural engineering capability without the need for heating and beating, which would in turn help reduce costs,” said Seita. “If you can control the properties you want in metals, you can leverage the greener aspects of 3D printing.”

Working with colleagues in Singapore, Switzerland, Finland and Australia, Seita developed a new ‘recipe’ for 3D-printed metal that allows a high degree of control over the internal structure of the material as it is being melted by a laser.

By controlling the way that the material solidifies after melting, and the amount of heat that is generated during the process, the researchers can programme the properties of the end material. Normally, metals are designed to be strong and tough, so that they are safe to use in structural applications. 3D-printed metals are inherently strong, but also brittle.

The strategy the researchers developed gives full control over both strength and toughness, by triggering a controlled reconfiguration of the microstructure when the 3D-printed metal part is placed in a furnace at relatively low temperature. Their method uses conventional laser-based 3D printing technologies, but with a small tweak to the process.

“We found that the laser can be used as a ‘microscopic hammer’ to harden the metal during 3D printing,” said Seita. “However, melting the metal a second time with the same laser relaxes the metal’s structure, allowing the structural reconfiguration to take place when the part is placed in the furnace.”

Their 3D printed steel, which was designed theoretically and validated experimentally, was made with alternating regions of strong and tough material, making its performance comparable to steel that’s been made through heating and beating.

“We think this method could help reduce the costs of metal 3D printing, which could in turn improve the sustainability of the metal manufacturing industry,” said Seita. “In the near future, we also hope to be able to bypass the low-temperature treatment in the furnace, further reducing the number of steps required before using 3D printed parts in engineering applications.”

The team included researchers from Nanyang Technological University, the Agency for Science, Technology and Research (A*STAR), the Paul Scherrer Institute, VTT Technical Research Centre of Finland, and the Australian Nuclear Science & Technology Organisation. Matteo Seita is a Fellow of St John’s College, Cambridge.

Reference:
Shubo Gao et al. ‘Additive manufacturing of alloys with programmable microstructure and properties.’ Nature Communications (2023). DOI: 10.1038/s41467-023-42326-y



The text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright ©University of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

Simple blood test can help diagnose bipolar disorder

Person providing a drop of blood for a medical test

source: www.cam.ac.uk

Researchers have developed a new way of improving diagnosis of bipolar disorder that uses a simple blood test to identify biomarkers associated with the condition.

The ability to diagnose bipolar disorder with a simple blood test could ensure that patients get the right treatment the first timeJakub Tomasik

The researchers, from the University of Cambridge, used a combination of an online psychiatric assessment and a blood test to diagnose patients with bipolar disorder, many of whom had been misdiagnosed with major depressive disorder.

The researchers say the blood test on its own could diagnose up to 30% of patients with bipolar disorder, but that it is even more effective when combined with a digital mental health assessment.

Incorporating biomarker testing could help physicians differentiate between major depressive disorder and bipolar disorder, which have overlapping symptoms but require different pharmacological treatments.

Although the blood test is still a proof of concept, the researchers say it could be an effective complement to existing psychiatric diagnosis and could help researchers understand the biological origins of mental health conditions. The results are reported in the journal JAMA Psychiatry.

Bipolar disorder affects approximately one percent of the population – as many as 80 million people worldwide – but for nearly 40% of patients, it is misdiagnosed as major depressive disorder.

“People with bipolar disorder will experience periods of low mood and periods of very high mood or mania,” said first author Dr Jakub Tomasik, from Cambridge’s Department of Chemical Engineering and Biotechnology. “But patients will often only see a doctor when they’re experiencing low mood, which is why bipolar disorder frequently gets misdiagnosed as major depressive disorder.”

“When someone with bipolar disorder is experiencing a period of low mood, to a physician, it can look very similar to someone with major depressive disorder,” said Professor Sabine Bahn, who led the research. “However, the two conditions need to be treated differently: if someone with bipolar disorder is prescribed antidepressants without the addition of a mood stabiliser, it can trigger a manic episode.”

The most effective way to get an accurate diagnosis of bipolar disorder is a full psychiatric assessment. However, patients often face long waits to get these assessments, and they take time to carry out.

“Psychiatric assessments are highly effective, but the ability to diagnose bipolar disorder with a simple blood test could ensure that patients get the right treatment the first time and alleviate some of the pressures on medical professionals,” said Tomasik.

The researchers used samples and data from the Delta study, conducted in the UK between 2018 and 2020, to identify bipolar disorder in patients who had received a diagnosis of major depressive disorder within the previous five years and had current depressive symptoms. Participants were recruited online through voluntary response sampling.

More than 3000 participants were recruited, and they each completed an online mental health assessment of more than 600 questions. The assessment covered a range of topics that may be relevant to mental health disorders, including past or current depressive episodes, generalised anxiety, symptoms of mania, family history or substance abuse.

Of the participants who completed the online assessment, around 1000 were selected to send in a dried blood sample from a simple finger prick, which the researchers analysed for more than 600 different metabolites using mass spectrometry. After completing the Composite International Diagnostic Interview, a fully structured and validated diagnostic tool to establish mood disorder diagnoses, 241 participants were included in the study.

Analysis of the data showed a significant biomarker signal for bipolar disorder, even after accounting for confounding factors such as medication. The identified biomarkers were correlated primarily with lifetime manic symptoms and were validated in a separate group of patients who received a new clinical diagnosis of major depressive disorder or bipolar disorder during the study’s one-year follow-up period.

The researchers found that the combination of patient-reported information and the biomarker test significantly improved diagnostic outcomes for people with bipolar disorder, especially in those where the diagnosis was not obvious.

“The online assessment was more effective overall, but the biomarker test performs well and is much faster,” said Bahn. “A combination of both approaches would be ideal, as they’re complementary.”

“We found that some patients preferred the biomarker test, because it was an objective result that they could see,” said Tomasik. “Mental illness has a biological basis, and it’s important for patients to know it’s not in their mind. It’s an illness that affects the body like any other.”

“In addition to the diagnostic capabilities of biomarkers, they could also be used to identify potential drug targets for mood disorders, which could lead to better treatments,” said Bahn. “It’s an exciting time to be in this area of research.”

A patent has been filed on the research by Cambridge Enterprise, the University’s commercialisation arm. The research was supported by the Stanley Medical Research Institute and Psyomics, a University spin-out company co-founded by Sabine Bahn.

Sabine Bahn is Professor of Neurotechnology at the Department of Chemical Engineering and Biotechnology and is a Fellow of Lucy Cavendish College, Cambridge.

Reference:
Jakub Tomasik et al. ‘Metabolomic Biomarker Signatures for Bipolar and Unipolar Depression.’ JAMA Psychiatry (2023). DOI: 10.1001/jamapsychiatry.2023.4096



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University of Cambridge and Cambridge United announce strategic partnership

A group of student footballers wearing University of Cambridge kit

source: www.cam.ac.uk

The University of Cambridge and Cambridge United Football Club have agreed a new partnership with the shared ambition of working together to help the wider city and the community, supporters, and current and prospective students.

“Sport can inspire people of all ages and backgrounds”Professor Bhaskar Vira, Pro-Vice-Chancellor for Education

The partnership will focus on three initial areas – community, inclusion and sport – with pilot programmes being planned. These will include events and visits to the Club’s stadium as part of initiatives to encourage more prospective students from deprived backgrounds around the country to apply to the University; and to enable more existing students to attend games. 

The University and Club have also established a high level partnership group which will meet regularly to drive progress and identify areas of opportunity. New programmes are likely to focus on supporting wellbeing and mental health, encouraging healthy lifestyles and improving access to sport.

Three of the University’s colleges will take part in the initial phase of activity as the University and Club begin working together.  The Club has also agreed that this year’s Varsity Match will take place at the Abbey Stadium on 15 March 2024. 

Prof Bhaskar Vira, Pro-Vice-Chancellor for Education, whose remit covers University sport, said: “The University is a global institution, but it is also right at the heart of our local community here in Cambridge, working with others in partnership. We know that sport can inspire people of all ages and backgrounds, and I welcome this exciting new partnership with Cambridge United which I hope will help build new and positive relationships which further benefit the city and its communities.” 

Shaun Grady Chair of the Board at CUFC said: “We are very pleased to be formalising our relationship with Cambridge University with whom we have had many different and positive contacts over recent years – and of course many of our fans work in, with and around  the University itself.

“We have identified areas where we will be looking to collaborate over the coming years: community, inclusion and sport. We are excited about the opportunities ahead to do more together for the wider benefit of the city and look forward to welcoming the new Vice Chancellor to the Abbey Stadium over the coming months.’



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Getting maximum calories in shortest time is the priority for bumblebees

Bumblebee foraging for nectar.

source: www.cam.ac.uk

Research has found that bumblebees make foraging choices to collect the most sugar from flowers in the shortest time – even if that means using more energy in the process – to provide an immediate energy boost for the colony.

It’s amazing that even with a brain smaller than a sesame seed, bumblebees can make such complex decisions.Hamish Symington

A new study investigating nectar drinking in one of the most common bumblebees in the UK, Bombus terrestris, has found that when foraging they maximise the amount of nectar sugar they take back to the colony each minute.

To make their choices, the bumblebees trade off the time they spend collecting nectar with the energy content of that nectar. This means they will forage to collect nectar that’s hard to access – but only if the sugar content of that nectar makes it worth doing so.

This big-and-fast approach contrasts with honeybee foraging: honeybees make their decisions by optimising their individual energy expenditure for any nectar they collect. This more measured approach should prolong the honeybee’s working life.

“As they forage, bumblebees are making decisions about which nectar sources will give the greatest immediate energetic return, rather than optimising the energy efficiency of their foraging,” said Dr Jonathan Pattrick, joint first author of the report, who started the research while in the University of Cambridge’s Department of Plant Sciences.

Pattrick, now based at the University of Oxford, added: “Our results allow us to make predictions about the sorts of flowers the bumblebees are likely to visit, which could inform the choice of which flowers to plant in field margins to support these important pollinators. It’s also relevant to crop breeders who want to make varieties that are ‘better’ for bumblebees.”

The results are published today in the journal iScience.

Over six months the researchers made 60,000 behavioural observations of the bumblebees, allowing them to precisely estimate bumblebee foraging energetics. It was painstaking work: each bumblebee in the study was watched for up to eight hours a day without a break.

The team used vertically and horizontally oriented artificial flowers, with surfaces that were slippery and difficult for the bumblebees to grip.

A custom computer program allowed the team to measure the split-second timing as the bumblebees flew between the artificial flowers and foraged from them. This meant the team could track how much energy the bumblebees spent flying as well as how much they collected when drinking, and identify how the bumblebees decided whether to spend extra time and energy collecting high-sugar nectar from slippery flowers, or take the easier option of collecting lower-sugar nectar from flowers they could land on.

https://youtube.com/watch?v=wD8-2q6Wpkw%3Fsi%3DdEh_yZQFpEdtECox%26enablejsapi%3D1%26origin%3Dhttps%253A%252F%252Fwww.cam.ac.uk

“It’s amazing that even with a brain smaller than a sesame seed, bumblebees can make such complex decisions,” said Dr Hamish Symington in the University of Cambridge’s Department of Plant Sciences and joint first author of the report.

He added: “It’s clear that bumblebee foraging isn’t based on a simple idea that ‘the more sugar there is in nectar, the better’ – it’s much more subtle than that. And it highlights that there’s still so much to learn about insect behaviour.”

Individual bumblebees were given one of three tests. In the first test, the nectar on both vertical and horizontal artificial flowers had the same amount of sugar, and the bumblebees made the obvious choice to forage from the horizontal flowers, rather than spend extra time and energy hovering at the vertical ones. In the second test, the nectar on the vertical flowers was much more sugary than the nectar on the horizontal flowers, and the bumblebees chose to drink almost exclusively from the vertical flowers.

In the third test, the vertical flowers offered nectar which was only slightly more sugary than the horizontal flowers. This created a situation in which the bumblebees had to make a trade-off between the time and energy they spent foraging and the energy in the nectar they were drinking – and they switched to feeding from the horizontal flowers.

The results show that bumblebees can choose to spend additional time and energy foraging from hard-to-access nectar sources – but only if the reward is worth it.

Bumblebees drink nectar from flowers, then offload it in their nest – by regurgitation – for use by other bumblebees in the nest. Unlike honeybees, bumblebees only store a small amount of nectar in the nest, so they need to make the most of every opportunity to forage.

This research was funded by BBSRC.

Reference

Pattrick, J G et al: ‘Bumblebees negotiate a trade-off between nectar quality and floral biomechanics.’ iScience, Oct 23. DOI: 10.1016/j.isci.2023.108071



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It’s high time for alliances to ensure supply chain security, researchers urge

Aerial shot of parked trucks, Scunthorpe, United Kingdom

source: www.cam.ac.uk

The Covid-19 pandemic highlighted the interconnected nature of global supply chains, and showed how a disruption in one part of the world can have global effects. In 2021, supply disruptions were cost the global economy an estimated $1.9 trillion.

Understanding supply chain interdependencies between companies, sectors, and countries is vital for many challengesAlexandra Brintrup

An international team of researchers, including from the University of Cambridge, are calling on government agencies and national banks to support an effort to map the billions of connections in the global supply network which, among other impacts, could reduce tax evasion by as much as €130 billion annually in the European Union.

The researchers say that understanding supply networks could also improve supply security, promote objective monitoring of the green transition, and strengthen human rights compliance. Writing in the journal Science, they emphasise that international alliances, backed by government organisations and the research community, are needed for such an understanding.

Even though most companies know their immediate trading partners, they depend on countless other relationships up and down the supply chain. A shortage anywhere in the supply network may affect suppliers, suppliers of suppliers, and so on, as well as customers and their customers’ customers.

“Supply disruptions caused an estimated loss of 2% of global GDP in 2021 – approximately $1.9 trillion – and significantly contributed to the current high inflation,” said lead author Anton Pichler from the Complexity Science Hub (CSH) in Vienna. “For a long time, it was unthinkable to analyse the global economy at the company level, let alone its complex network of supply interconnections. That is changing now.”

“Understanding supply chain interdependencies between companies, sectors, and countries is vital for many challenges, from identifying how disruptions may emerge and cascade across economies, through to monitoring carbon emissions and ensuring ethical and sustainable practice,” said co-author Professor Alexandra Brintrup from Cambridge’s Institute for Manufacturing.

For almost a century, only aggregated data – such as the average values of entire sectors – could be analysed. Predicting how individual company failures would affect the system was simply not possible. What happens to the economy when a specific company stops its production? What if an earthquake paralyses an entire region?

“Now, a combination of new micro-datasets, methods based in machine learning, and multiple government initiatives are creating the ability to map entire economies, which can give us the tools to answer some fundamental questions with real and timely impact,” said Brintrup.

Although the volume of data is vast – there are approximately 300 million companies worldwide, each with an average of 40 domestic suppliers, resulting in up to 13 billion supply connections – researchers can map the connections between individual companies.

Currently, value-added tax (VAT) data is the most promising option for reconstructing reliable large-scale supply networks. Countries including Spain, Hungary and Belgium use a standardised VAT collection that practically records all domestic business-to-business (b2b) transactions. With these, it’s possible to map the entire national trade of a country.

In most countries like Germany, Austria, or France, where VAT is not collected for individual b2b transactions but only accumulated over a specific period, such mapping is not possible.

“The standardised b2b collection could reduce administrative overheads for companies and would contribute substantially to tax compliance,” said co-author Christian Diem, also from CSH. Estimates suggest that VAT-related fraudulent activities in the European Union (EU) amount to €130 billion annually.

Beyond tax evasion, other global challenges also depend on the detailed knowledge of supply networks. “For individual companies, it’s nearly impossible to ensure that all trading partners, their suppliers, and their suppliers’ suppliers operate in an environmentally friendly way and in compliance with human rights,” said Pichler. “If this were centrally documented in a gigantic network, it could be more easily ensured.”

The next step is to link trade data from different countries. Currently, the EU records trade in goods between its member states at the company level. If it also included services and linked them with VAT data, this could lead to a comprehensive cross-border company-level network. According to the authors, this would represent almost 20% of the global GDP.

The European Commission laid the legal foundation by proposing ‘VAT in the Digital Age.’ “Unfortunately, this is far from being realised,” said co-author Stefan Thurner, of the Complexity Science Hub. “So far, we do not have a single situation where the supply chain networks of any two countries have been joined and merged. This would be an essential next step.”

To create a truly international picture of supply interconnections, hundreds of datasets must be joined, analytical tools developed, and an institutional framework must be created, together with secure infrastructure for storing and processing enormous amounts of sensitive data.

“To advance this endeavour, a strong international alliance of various interest groups is required, including national governments, statistical offices, international organisations, central banks, the private sector, and academia,” said Thurner. The first collaboration in science, involving authors in macroeconomics, supply chain research, and statistics, now aims to establish a foundation. The researchers hope to inspire others to join their efforts.

The researchers hosted representatives of European ministries, national banks, statistical offices, and researchers at a workshop in Vienna on June 5 and 6, 2023.

Reference:
Anton Pichler et al. ‘Building an alliance to map global supply networks.’ Science (2023). DOI: 10.1126/science.adi7521

Adapted from a CSH press release.



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Sustained, purposeful investment key to ‘leaving no girl behind’, either in education or beyond

Young girl in Nepal

source: www.cam.ac.uk

A UK-funded programme to support out-of-school girls in low-income countries has significantly enhanced their learning, confidence, opportunities and prospects, a new report says. However, sustained, strategic and targeted investment will be needed to preserve these gains.

It is clear that we cannot just switch the support pipeline off for marginalised girls, and expect all those good results to be sustainedPauline Rose

The observations come from an evaluation of 14 projects across 10 countries in Africa and South Asia developed under the ‘Leave No Girl Behind’ (LNGB) initiative, launched in 2016. LNGB is part of the broader Girls’ Education Challenge, run by the UK Foreign, Commonwealth & Development Office.

The programme targets the most marginalised girls through structured interventions aimed at improving their academic skills and life chances. Collectively, these have aimed to reach 230,000 adolescent girls aged 10-19. The girls involved tend to come from very poor backgrounds. Many have married early, are teenage mothers, or have disabilities. All have either never attended school or dropped out early.

The new analysis is the latest in a series of reports evaluating the impact of the UK’s recent, targeted support for the world’s least-advantaged girls in general. It was undertaken by a collaboration led by the Research for Equitable Access and Learning (REAL) Centre, University of Cambridge. The research assessed the outcomes of the LNGB projects for more than 17,000 adolescent girls, complementing this with case studies from projects in Ghana, Kenya, and Nepal.

The verdict is broadly positive. As well as enhancing basic literacy and numeracy skills, LNGB initiatives were found to have improved the girls’ life skills and well-being. Participants often displayed greater confidence and increased self-esteem. This enabled them to have more control over decisions relating to their education and work choices. Girls further reflected on how their future aspirations had changed for the better.

Despite this, the researchers highlight several ongoing challenges. Even after participating in an LNGB programme, many girls still encountered significant economic challenges and deep-rooted gender and social norms, which acted as barriers to their education and career development. With the Girls’ Education Challenge concluding in 2024, the report emphasises the need to engage a range of stakeholders in both LNGB projects and equivalent future initiatives, to identify ways to provide sustained support to tackle barriers that the most marginalised girls will continue to face into the future.

Dr Asma Zubairi, who was part of the REAL Centre’s evaluation team, said: “Leave No Girl Behind did a great job of providing more holistic support than many comparable interventions. Based on feedback from the girls themselves, however, it is clear that when the support stops, the same old problems resurface. There are some profound economic and social issues at play.”

Professor Pauline Rose, Director of the REAL Centre, said: “As we approach the end of the Girls’ Education Challenge, we need to consider what comes next. What Leave No Girl Behind has achieved is really impressive, but there are also lessons to learn. In particular, it is clear that we cannot just switch the support pipeline off for marginalised girls, and expect all those good results to be sustained.”

A hallmark of the LNGB projects was their holistic approach to supporting girls in both their education and livelihood journeys. Beyond improving academic skills, such as basic literacy and numeracy, they also charted a ‘pathway’ for each girl’s future: guiding them towards work opportunities, skills training, or back into formal schooling.

Girls and families were often given money or in-kind support to facilitate this. In Ghana, for instance, the families of girls resuming school received one year of financial aid; elsewhere, girls starting businesses were given start-up kits or funding.

Interviews with the girls, families and community members consistently suggested they emerged as confident, independent problem-solvers; while the life-skills training introduced them to topics such as contraception and tackling gender-based violence, of which some were previously unaware. One, speaking about the Aarambha project in Nepal, said it “taught us about contraceptive methods to not give birth to a child…. I did not know anything like that before [and] I learned it after coming to the community learning centre”.

The report identifies a ‘virtuous’ circle for many girls who entered employment because they often contributed directly to their communities through their work. In Kenya, for example, some girls who trained in tailoring ended up supplying school uniforms to their local area. This increased respect from their families and peers, which added to their overall sense of empowerment and wellbeing.

Despite these positives, there is evidence that societal attitudes remain a formidable hurdle for many of the girls to participate in education. Social expectations also diverted some from their chosen paths following the programme. Older adolescent girls, for example, were seen as too old to return to education and project facilitators noted they potentially faced ridicule if they tried.

In addition, not all girls were able to pursue pathways that matched their preferences. About one-quarter of girls who pursued work-related pathways had originally expressed a preference for formal education but were dissuaded from pursuing it. Moreover, many of the girls following a work-related pathway were pushed towards a limited list of occupations deemed ‘appropriate’ for women, such as tailoring and hairdressing.

The report cites the case of Ayaan, a 20-year-old mother from Kenya who had originally dropped out of primary school. After joining an LNGB programme, Ayaan wanted to study chemistry, but was considered too old for formal education. She then opted to train as an electrician, only for her husband to reject this as “a man’s vocation”: “They [project in Kenya] told us that only the young kids have the option to go back to school….and my husband refused me to do electrician because he said that it is for men.” Ayaan ended up opening a business selling nuts, charcoal and clothing: a success on paper, but not when measured against her own dreams.

The evaluation identifies other structural problems. Not all employers, for example, recognised the qualification girls received after graduating from the LNGB interventions, leaving some feeling “underappreciated and stuck with a useless certificate,” according to one interviewee involved in the implementation of an LNGB project in Zimbabwe.

Despite having initial financial backing, girls and families often struggled to afford school or sustain business ventures once the funding ended. In Kenya, about 20% of graduates from the training pathway remained jobless; 39% on the entrepreneurship pathway started businesses that subsequently failed. Societal prejudices sometimes intersected with this: in Kenya there were accounts of men destroying their wives’ sewing machines to stop them from working.

The report emphasises that future projects will need to collaborate closely with a wide range of stakeholders from inception. These are likely to include governments and NGOs. Such partnerships, the researchers argue, enhance the prospects of girls receiving ongoing, cross-sector support, which is essential for prolonged success.

A host of other recommendations include ensuring that future projects are of sufficient length to enable girls to master the skills they are being taught (which was not consistently true of the LNGB interventions); more comprehensive career guidance to prevent girls being limited to the same handful of occupations; and ties with microfinance to help those who start their own businesses.

“Well-structured interventions like the LNGB projects naturally draw in other entities to help marginalised girls,” Rose said. “They could do so even more strategically. A single education aid project cannot reverse societal or economic constraints by itself, but it can lay the groundwork for a broader approach sustained by others, long after the original project comes to an end.”



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Cambridge College to support care experienced teenagers

Peter Samuelson and Doug Chalmers

source: www.cam.c.uk

Care experienced children in Cambridgeshire are to receive significant support with their education and pastoral needs through a new partnership between Emmanuel College and the charity First Star Scholars UK. It will offer young care experienced people first-hand experience of a College environment to help them develop academically, personally and emotionally from Year 9 through to Year 13, helping them fulfil their potential and work towards entering higher education.

This is about us playing our part in helping the social environment that is around usDoug Chalmers

The children will be offered mentoring and will be able to visit the College on Saturdays for extra tuition in English and Maths plus extra-curricular activities. The College will also host a 3 week summer school next year (2024) with a focus on academic, as well as personal, development. In addition to the academic focus, the programme will also teach valuable life skills such as cooking and nutrition, emotional regulation and self-advocacy.

Film producer, Peter Samuelson, is the Chair and Founder of First Star Scholars UK. He was the first in his family to go to university, arriving at Emmanuel in the late 1960s. He says those in care feel they don’t have a voice and are often passed around like “cardboard boxes”. He is keen to raise expectations: “You may be carrying trauma, horrible things may have happened to you, but ‘it takes a village to raise a child’ and the scholars will find a village at Emmanuel College. There are role models, there are mentors, there are tutors, there’s a community that prizes critical thinking, exploration and personal growth. That’s for you too and it’s a ladder that can help you lift yourselves up.”

The partnership will show care experienced children what it is like to live and study within a ‘Russell Group’ institution, where care leavers make up only 0.4% of the total undergraduate population, and inspire them to continue pursuing their studies in order to make the essential step from care into higher education.

Master of Emmanuel College, Lieutenant General Doug Chalmers, says “A lot of children in care simply don’t think they can get into Higher Education so this partnership is about giving these children, across Cambridgeshire, a platform from which they can aspire to go to universities like Cambridge. This isn’t about recruiting students for Emmanuel…this is about us playing our part in helping the social environment that is around us. When I was in the military, whether you were garrisoned or camped, you worked out what your local environment was like and then assessed whether you could engage with it and add value or not…we’re doing a similar thing at this College.”

A joint report by First Star Scholars UK and the independent think tank, Civitas, found that only 14% of care leavers under 19 started a university course in 2021/22 compared with 47% of non-care leavers (based on Department for Education (DfE) data). There are currently 65 care experienced students at the University of Cambridge but it’s hoped this figure will rise as a result of targeted outreach programmes and more scholarships being made available. Through its Realise project, the University runs a series of events throughout the year for young people with experience of care. 



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Cambridge University events at Being Human Festival 2023

source: www.cam.ac.uk

From the art of kiln firing and exploring Egyptian coffins to Aztec food science and an exhibition delving into the artistic, sociological and linguistic aspects of biological research into human tissues, events being held by Cambridge as part of Being Human Festival 2023 are a celebration for the humanities.

Taking place from 9-18 November 2023, Being Human is the UK’s national festival of the humanities. A celebration of humanities research through public engagement, it is led by the School of Advanced Study at the University of London, and works in partnership with the Arts and Humanities Research Council and the British Academy to support humanities public engagement across the UK.

The theme for 2023 is Rhyme or Reason and researchers to think about rhyme or reason, or rhyme and reason, in relation to their research, and to key anniversaries in 2023.

Events taking place at the University of Cambridge are:

Building a Potter’s Kiln (11 November 2023, 12pm-4pm)

Interested in pottery and traditional crafts? Come and witness kiln-building in action at the Fitzwilliam Museum. Led by renown ceramicist and scholar Dr Abbas Akbari (University of Kashan), a group of volunteers will build a wood-fired pottery kiln on the Museum’s North Lawn, which will be fired in a series of public events over the course of the following week.

Learn from researchers about medieval Iranian ceramics and visit the Fitzwilliam’s outstanding Islamic collection. Drop-in event, no booking required. Please note that this event is weather-dependent.

Shine! Painting in Lustre (12 November 2023, 2pm-4pm)

Join renowned ceramicist and scholar Dr Abbas Akbari (University of Kashan) in a small-group workshop on decorating ceramics with metallic, lustre paints following medieval Iranian designs. In the following week, you will be able to witness the firing of your ceramic artwork during a series of public events at the Museum.

Lustre Firing at the Fitz (14/16 November 2023, 11am-2pm, 15 November 2023, 2pm-4pm, 17 November 2023, 11am-1pm)

Interested in pottery and traditional crafts? Witness the firing of lustre-painted ceramics in a traditional brick kiln on the Fitzwilliam Museum’s lawn. Led by renowned ceramicist and scholar Dr Abbas Akbari (University of Kashan), this event is part of a week of activities inspired by Medieval Iranian ceramics.

Learn from researchers about our latest discoveries and visit the Museum’s outstanding Islamic art collection. This event is drop-in with no booking required. Please note that this event is weather-dependent.

Frenemy (My Algorithm and Me) (18 November 2023, 10am-5pm)

Frenemy (My Algorithm and Me) is a short film made by Josh Vyrtz, an experimental artist film-maker, and Isabelle Higgins, a sociologist at the University of Cambridge.

The film explores the impact of social media algorithms on young people’s everyday lives, providing fresh perspectives on social media inequalities. Come and watch the film throughout the day (10:00-17:00) and discuss the idea of ‘algorithmic self-defence’ with its creators. Or join a one-hour interactive screening (15:00-16:00) with a panel of experts, which will challenge attendees to reclaim power and autonomy over their social media use.

Children (over 8 years old) and young people are very welcome to attend.

age is an artist’s book created using dos-a-dos binding to tell two stories simultaneously. It includes a narrative literature review of representations of human developmental biology in popular media during the 20th century and presents insights from interviews with current developmental biologists.

The Newspaper Dance (18 November 2023, 11:30am-12:30pm)

This dance theatre work responds to the question of how Indian classical dance replicates social and religious hierarchies in its practice and performance. The performance attempts to bridge the gap between research and practice, and uses dance-theatre to embody the questions my research raises.

Exploring Ancient Egyptian Coffins (18 November 2023, 10:30am-5:30pm)

Come along to discover research from the Fitzwilliam Museum Coffins’ Project, including investigations into the making and meaning of Egyptian coffins, and the complex questions posed by ancient reuse of them.

There’ll be table-top displays of real objects and materials to discuss, and hands-on activities using replica ancient woodworking tools and making and using rush pens and brushes to try out Egyptian painting techniques. Activities will be suitable for all ages.

The event is run in collaboration with Egyptology at Christ’s College, Cambridge and the Department of Archaeology, University of Cambridge and is supported by the Leverhulme Trust Emeritus Fellowship scheme.

The Power and the Limits of ‘Voice’ (18 November 2023, 1pm-2pm)

As part of this year’s Being Human Festival, Dr Kelly Fagan Robinson from the Department of Social Anthropology at the University of Cambridge gives everyone the opportunity to tell their stories about things that matter to them as individuals in ways they may not have encountered before. By taking part, each person will be contributing to a pilot research skills programme which teaches people to use ethnographic methods to shape their stories in more legible ways.

This activity will:

Introduce everyone taking part to anthropology (the study of what it is to be human) and introduce each participant to a creative autoethnographic method

Start conversations about values, inequalities and potential for transformation in the world around us

Use images, collage, photos and story-telling to create unique self-life-maps that tell the stories of who each of us are!

This activity is aimed at children and families and curious primary and secondary school teachers! This is a drop-in activity and booking is not required.

Their Future, Our Action: Being Human Is Powerful (18 November 2023, 2:30pm-3:30pm)

The Centre for Resilience and Sustainable Development (CRSD) at the University of Cambridge aims to cultivate sustainable, equitable, and resilient futures by bringing together a wide range of people, as diverse as heads of state to school children, to create solutions to the world’s most complex challenges.

This workshop, open to young people and adults, will explore how different groups can work together to design a successful finance project for young people living in small developing countries. 

Shaping Memories with Seeds: Aztec Food Science and Edible Archives (18 November 2023, 10:30am-3:30pm)

Come along and explore the edible-arts of Mexico! Discover the importance of Indigenous sciences, art, linguistics and sustainable food technologies, whilst learning to shape and be shaped by Mexico’s distinct cultural traditions.

You’ll be introduced to the food history of Mexico’s Nahuas (commonly the ‘Aztecs’), namely the material traditions associated with amaranth plants, seeds and seed dough. Amaranth seed dough was (and still is) inextricably linked to the dynamic ethnic and religious makeup of Mexico.

This fun, hands-on activity will include designing and decorating an edible mnemonic device based on leading research on Mesoamerican learning techniques, archaeology and art history.

This is a family-friendly event, particularly aimed at young, school-age children.



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Cambridge and Google partner to facilitate AI research

Research underway in the Centre for Human-Inspired Artificial Intelligence

source: www.cam.ac.uk

The University of Cambridge and Google are building on their long-standing partnership with a multi-year research collaboration agreement and a Google grant for the University’s new Centre for Human-Inspired AI to support progress in responsible AI that is inspired by and benefits people. 

The new multi-year research agreement creates the potential for researchers and scientists from Google and the University to more closely collaborate on foundational AI research projects in areas of shared interest across a range of disciplines, including climate and sustainability, and AI ethics and safety. 

Google has also become the first funding partner for the university’s Centre for Human-Inspired Artificial Intelligence (CHIA), led by Professor Anna Korhonen, Professor Per Ola Kristensson and Dr. John Suckling, bringing together researchers and experts from computer science, engineering and multiple disciplines to develop AI that is grounded in human values and benefits humanity. Google’s unrestricted grant is helping enable the Centre’s AI research in areas like responsible AI, human-centred robotics, human-machine interaction, healthcare, economic sustainability and climate change. The donation is also funding students from underrepresented groups to carry out PhDs within the CHIA to help broaden diversity in the AI research community. 

The expanded partnership builds on years of collaboration between Google Research, Google DeepMind and the University of Cambridge. Google provides funding for academic research, facilitates collaboration between faculty and Google researchers, and supports exceptional computer science students through its PhD Fellowship Programme. Google DeepMind funds scholarships for students from underrepresented backgrounds studying AI-related fields, as well as a postdoctoral Fellowship, to help build a stronger and more inclusive AI community. Google DeepMind also endowed the first DeepMind Professor of Machine Learning at the University of Cambridge’s Department of Computer Science and Technology to help drive its machine learning and artificial intelligence research.

Matt Brittin, President of Google EMEA and University of Cambridge alumnus, commented: “AI has huge potential to benefit people across the world – whether it’s through making daily life that bit easier, or by tackling some of society’s biggest challenges. It’s vital that we work together to seize this opportunity. By collaborating with one of our world-leading British academic institutions, we can enable AI research that is bold, responsible and designed to meet the needs of people across the country. This partnership also reaffirms Google’s commitment to the UK as a global AI and technology leader.”

Jessica Montgomery, Director of ai@cam, the University of Cambridge’s flagship mission on artificial intelligence, commented: “The University of Cambridge can be an engine for AI innovation and a steward of advancements in this exciting field. Translating advances in AI to benefits for science, citizens, and society requires interdisciplinary research that is deeply connected to real-word needs. The research collaboration agreement announced today will support research activities across the University. We want to leverage the world-leading expertise found across the University to enable exciting new advances in responsible AI.”

Michelle Donelan, Secretary of State for Science, Innovation and Technology, added: “Artificial intelligence can offer us enormous opportunities – growing the economy, creating new jobs and making lives longer, healthier and happier for British people. To seize those opportunities, we must bring together insights from business and academia to encourage the safe and responsible development of AI. That is why we are welcoming the partnership which Google and the University of Cambridge have announced today.

As we prepare for next month’s AI Safety Summit, this partnership shows that the UK – home to world-leading research facilities as well as some of the biggest tech companies in the world – is perfectly placed to support the innovation that underpins this critical technology.”

Professor Anna Korhonen, Director of CHIA, said: “Here at the Centre for Human-Inspired Artificial Intelligence our researchers are dedicated to making sure that people are put at the very heart of new developments in AI. As our first funding partner, Google has been with us from the start of our journey, helping enable the breakthrough interdisciplinary research that we do. Partnerships like this – between academia and industry – will continue to be vital for the successful development of human-inspired AI.”

Zoubin Ghahramani, VP, Research, Google DeepMind is a Professor of Information Engineering at the University of Cambridge and has spearheaded this expanded partnership. He commented: “Google and the University of Cambridge share a deep commitment to developing AI responsibly, which means grounding innovation in scientific research,  human values and our AI principles. We’re excited by CHIA’s potential to set new standards in responsible and human-centric AI development,  and unlock AI discoveries that could benefit everyone.”

A recent report, commissioned by Google and compiled by Public First, quantified the opportunity AI presents to enhance the lives and businesses of everyone across the UK. It found AI-powered innovation could create over £400 billion in economic value for the UK economy by 2030. To ensure everyone can tap into that potential, regardless of whether they’re in higher education, Google has launched free training to offer people and businesses practical skills and knowledge to capture the benefits of AI. 
 


How AI can help people with motor disabilities — like my cousin

“My cousin was the victim of a brutal attack, and left with life-changing injuries – but with AI technology, we aim to empower people like her.”

Aleesha Hamid, a PhD student at the Cambridge Centre for Human-Inspired AI, blogs on the Google website about why her research aims to make a real difference to people like her cousin, who was left with a traumatic brain injury and uses technology to communicate.  



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Strategy unveiled to boost innovation in Cambridge

source: www.cam.ac.uk

 An ambitious new strategy to nurture and grow its innovation ecosystem has been unveiled at Cambridge summit.

The Innovate Cambridge Summit saw over 400 leaders from across the civic, business and academic working communities to support the science and technology cluster to maintain its position as a world leader amid fierce international competition.

Cambridge has evolved into a global innovation hub over the last 30 years, with over 5,500 knowledge-intensive businesses generating revenues exceeding £20bn annually and 23 billion-dollar unicorn companies born in the city. The University of Cambridge is also the number one university in the world for producing successful tech founders, ahead of Harvard and MIT, with over 500 alumni founders raising more than $10 million in funding.

Recognising this, the city and its innovation ecosystem is now presented with a generational opportunity to maximise economic and social return. International benchmarking indicates that Cambridge can do more to enhance its position in the global innovation landscape.

This new home-grown innovation strategy, which has had input from 200 organisations, including Cambridge Enterprise, the University of Cambridge, Cambridge Innovation Capital, AstraZeneca, Microsoft, ARM, Darktrace, Cambridge City Council, and Cambridge County Council and Cambridgeshire and Peterborough Combined Authority will propel the ecosystem towards a groundbreaking future.

In the past twelve months, the Cambridge ecosystem has seen significant collaboration, with over 200 organisations endorsing an Innovation Charter and extensive consultations involving more than 500 individuals to craft an innovation strategy. The culmination of these efforts, Innovate Cambridge, seeks to leverage the city’s unique position as a driver of Britain’s growth, fostering collaboration, and catalysing innovation for the benefit of local communities and the broader UK.

In pursuit of this vision, Innovate Cambridge has identified three strategic goals:

  • An innovation ecosystem firing on all cylinders. Innovate Cambridge envisions improved health and social care, optimised energy use, and enhanced agricultural outcomes through world-leading life sciences research and AI applications. The focus will be on creating a green growth strategy, fostering economic growth, and supporting social infrastructure.
  • Ensuring the innovation ecosystem provides value and impact for the local community. Innovate Cambridge aims to increase collaboration within and beyond the region, formalising partnerships with other innovation hubs and economic centres. The initiative strives to deliver high-quality employment and training opportunities while ensuring benefits extend beyond geographical limits.
  • Forming partnerships with other regions and collaborators to drive scale and deliver social and economic benefits. By 2035, Innovate Cambridge aims to achieve significant economic, social, and environmental impact through collaborations and partnerships. Practical infrastructure issues, such as water scarcity and transportation, are addressed in conjunction with local government and Cambridge Ahead.

“Innovation is critical to local, national and global prosperity and central to the UK’s economic success. Cambridge is the UK’s leading research-based innovation ecosystem. A recent analysis found that spinouts and start-ups associated with the University contributed over £18bn to the UK economy and there are many other companies within the Cambridge ecosystem without a direct connection to the University that make a further significant contribution.” Professor Andy Neely OBE, Senior Pro-Vice-Chancellor, University of Cambridge

“The City Council has an important placemaking and leadership role for the whole city. We want Cambridge to be an even better place to live, work and study, and ensure the city maintains its status as a global innovation hub. Cambridge also has significant challenges around health inequalities, housing affordability, and life changes for disadvantaged young people. That’s why it’s vital successful businesses, innovators, and entrepreneurs that have benefited from the unique, nurturing, innovation environment in Cambridge to give back to the city in a more tangible way.” Robert Pollock, Chief Executive, Cambridge City Council

“This strategy represents a pivotal moment for the innovation ecosystem in Cambridge. The collaboration of over 200 organisations has yielded a strategic roadmap that provides a shared vision for Cambridge as a global innovation hub. This initiative, rooted in inclusivity and sustainability, will drive positive economic and social impacts for the local community. Cambridge Enterprise is proud to be part of this ambitious endeavour, and we look forward to fostering groundbreaking discoveries and translating them into world-changing businesses.” Dr Diarmuid O’Brien, Chief Executive, Cambridge Enterprise

“Innovation is critical to local, national and global prosperity and central to the wider UK growth agenda, and Cambridge remains the most intensive science and technological cluster in the world.  It is an ecosystem where companies have the potential to go from lab to market quicker than anywhere else. We excel in life sciences, deep tech, and interdisciplinary research; and the city is home to a blend of start-ups and global leaders. The fact that so many of those stakeholders and businesses have now come up with an inclusive, forward-looking plan to ensure the city continues to innovate, compete, and deliver impact on a global scale, fills me with enormous pride.” Michael Anstey, Partner, Cambridge Innovation Capital

News release first published by Cambridge Enterprise



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UK needs AI legislation to create trust so companies can ‘plug AI into British economy’ – report

Data Tunnel

source: www.cam.ac.uk

Legislation regulating AI safety and transparency is needed, say researchers, so British industry and education can put resources into AI development with confidence.

The UK can become a global leader in actually plugging these AI technologies into the economyDiane Coyle

The British government should offer tax breaks for businesses developing AI-powered products and services, or applying AI to their existing operations, to “unlock the UK’s potential for augmented productivity”, according to a new University of Cambridge report.

Researchers argue that the UK currently lacks the computing capacity and capital required to build “generative” machine learning models fast enough to compete with US companies such as Google, Microsoft or Open AI.

Instead, they call for a UK focus on leveraging these new AI systems for real-world applications – such as developing new diagnostic products and addressing the shortage of software engineers, for example – which could provide a major boost to the British economy.

However, the researchers caution that without new legislation to ensure the UK has solid legal and ethical AI regulation, such plans could falter. British industries and the public may struggle to trust emerging AI platforms such as ChatGPT enough to invest time and money into skilling up.

The policy report is a collaboration between Cambridge’s Minderoo Centre for Technology and DemocracyBennett Institute for Public Policy, and ai@cam: the University’s flagship initiative on artificial intelligence.

“Generative AI will change the nature of how things are produced, just as what occurred with factory assembly lines in the 1910s or globalised supply chains at the turn of the millennium,” said Dame Diane Coyle, Bennett Professor of Public Policy. “The UK can become a global leader in actually plugging these AI technologies into the economy.”

Prof Gina Neff, Executive Director of the Minderoo Centre for Technology and Democracy, said: “A new Bill that fosters confidence in AI by legislating for data protection, intellectual property and product safety is vital groundwork for using this technology to increase UK productivity.”

Generative AI uses algorithms trained on giant datasets to output original high-quality text, images, audio, or video at ferocious speed and scale. The text-based ChatGPT dominated headlines this year. Other examples include Midjourney, which can conjure imagery in any different style in seconds.

Networked grids – or clusters – of computing hardware called Graphics Processing Units (GPU) are required to handle the vast quantities of data that hone these machine-learning models. For example, ChatGPT is estimated to cost $40 million a month in computing alone. In the spring of this year, the UK chancellor announced £100 million for a “Frontier AI Taskforce” to scope out the creation of home-grown AI to rival the likes of Google Bard.

However, the report points out that the supercomputer announced by the UK chancellor is unlikely to be online until 2026, while none of the big three US tech companies – Amazon, Microsoft or Google – have GPU clusters in the UK.

“The UK has no companies big enough to invest meaningfully in foundation model development,” said report co-author Sam Gilbert. “State spending on technology is modest compared to China and the US, as we have seen in the UK chip industry.”

As such, the UK should use its strengths in fin-tech, cybersecurity and health-tech to build software – the apps, tools and interfaces – that harnesses AI for everyday use, says the report.

“Generative AI has been shown to speed up coding by some 55%, which could help with the UK’s chronic developer shortage,” said Gilbert. “In fact, this type of AI can even help non-programmers to build sophisticated software.”

Moreover, the UK has world-class research universities that could drive progress in tackling AI stumbling blocks: from the cooling of data centres to the detection of AI-generated misinformation.

At the moment, however, UK organisations lack incentives to comply with responsible AI. “The UK’s current approach to regulating generative AI is based on a set of vague and voluntary principles that nod at security and transparency,” said report co-author Dr Ann Kristin Glenster.

“The UK will only be able to realise the economic benefits of AI if the technology can be trusted, and that can only be ensured through meaningful legislation and regulation.”

Along with new AI laws, the report suggests a series of tax incentives, such as an enhanced Seed Enterprise Investment Scheme, to increase the supply of capital to AI start-ups, as well as tax credits for all businesses including generative AI in their operations. Challenge prizes could be launched to identify bottom-up uses of generative AI from within organisations.



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