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A radical new method of imaging which harnesses artificial intelligence to turn time into visions of 3D space could help cars, mobile devices and health monitors develop 360-degree awareness. Photos and videos are usually produced by capturing photons - the building blocks of light - with digital sensors.

Researchers at the University of Sussex have developed a system which can accurately predict a period of drought in East Africa up to ten weeks ahead. Satellite imagery is already used in Kenya to monitor the state of pastures and determine the health of the vegetation using a metric known as the Vegetation Condition Index.

New research, based on earlier results in mice, suggests that our brains are never at rest, even when we are not learning anything about the world around us. Finding coherent patterns in this large assembly of cells is challenging, much like trying to determine the behaviour of a swarm of insects by watching a random sample of individuals Timothy O'Leary Our brains are often likened to computers, with learned skills and memories stored in the activity patterns of billions of nerve cells.

Researchers have demonstrated how machine learning could help design lithium-ion batteries and fuel cells with better performance. A new machine learning algorithm allows researchers to explore possible designs for the microstructure of fuel cells and lithium-ion batteries, before running 3D simulations that help researchers make changes to improve performance.

A new technique that synchronises the clocks of computers in under a billionth of a second can eliminate one of the hurdles for the deployment of all-optical networks, potentially leading to more efficient data centres, according to a new study led by UCL and Microsoft. Data centres, comprising tens or hundreds of thousands connected servers, are the underlying technology empowering everything we do online, from storing films and photos to serving up webpages and online services.

Researchers have used artificial intelligence to reduce the 'communication gap' for nonverbal people with motor disabilities who rely on computers to converse with others. This method gives us hope for more innovative AI-infused systems to help people with motor disabilities to communicate in the future Per Ola Kristensson The team, from the University of Cambridge and the University of Dundee, developed a new context-aware method that reduces this communication gap by eliminating between 50% and 96% of the keystrokes the person has to type to communicate.

Here's a batch of fresh news and announcements from across Imperial. From new ways to make cloud computing applications more trustworthy, to a small 'switch' for turning genes on and off, here is some quick-read news from across the College. Cloud security The UKRI have announced funding for a new research project called CloudCAP: Capability-based Isolation for Cloud Native Applications.

A new app developed at Imperial College London aims to protect privacy whilst trying to minimise coronavirus spread. As part of their efforts to slow the outbreak of coronavirus , international governments, research institutions and industry are developing contact tracing apps to record interactions between people.

The development of quantum technologies promises to have a profound impact across science, engineering and society. Quantum computers at scale will be able to solve problems intractable on even the most powerful current supercomputers, with many revolutionary applications, for example, in the design of new drugs and materials.

Researchers at Imperial College London and Cambridge have developed an AI algorithm that can detect and identify different types of brain injuries. The researchers found that their machine learning algorithm was able to detect, segment, quantify and differentiate between types of brain lesions using images of CT scans.

Researchers have designed a machine learning method that can predict battery health with 10x higher accuracy than current industry standard, which could aid in the development of safer and more reliable batteries for electric vehicles and consumer electronics. The researchers, from Cambridge and Newcastle Universities, have designed a new way to monitor batteries by sending electrical pulses into them and measuring the response.

A new imaging method combined with machine learning uncovers previously hidden information in micrographs of biological cells to reveal quantitative information of gene expression levels. Researchers from the University of Glasgow's James Watt School of Engineering and School of Computing Science describe in a paper published today how they have used image analysis and machine learning as a tool to directly determine the gene activity in single cells.

The region's leading universities, the GW4 Alliance, together with the Met Office, Hewlett Packard Enterprise (HPE), and partners, have been awarded £4.1 million by the Engineering and Physical Sciences Research Council (EPSRC) to create Isambard 2, the largest Arm-based supercomputer in Europe.

Smartphone apps used as 'early warning systems' for skin cancer are poorly regulated and frequently cannot be relied upon to produce accurate results, according to new analysis by experts at the University of Birmingham. Skin cancer detection apps are designed to ensure that the right people seek medical attention by providing a risk assessment of a new or changing mole.

A novel system capable of detecting and classifying cyber-attacks on smart devices around our homes has been developed by experts at Cardiff University. The system can distinguish between malicious or benign activity and detect attacks on devices such as the Amazon Echo Dot and Apple TV with a 90 per cent accuracy.

Far-right agitators in Portugal now have different reasons to their 1970s predecessors for becoming radicalised and committing acts of political violence - a new study shows. Influenced by the international 'skinhead' movement from the mid-1980s, current extremists drawn largely from the working classes have turned to violence to 'protect' white Portugal and Europe against the 'threat' posed by multi-racial and multicultural society.

A deep learning system can predict the structure of a protein using its genetic sequence more accurately than any previous modelling system, according to a study by researchers at DeepMind and UCL. Nearly every function our body performs relies on proteins. Predicting the intricate 3D structure of a protein is important because its structure largely determines its function and, once the structure is known, scientists can develop drugs that target this unique shape.

The development of technologies which can process information based on the laws of quantum physics are predicted to have profound impacts on modern society. For example, quantum computers may hold the key to solving problems that are too complex for today's most powerful supercomputers, and a quantum internet could ultimately protect the worlds information from malicious attacks.

Researchers at the University of Birmingham have identified a weakness in Intel's processors: by undervolting the CPU, Intel's secure enclave technology becomes vulnerable to attack. Modern processors are being pushed to perform faster than ever before - and with this comes increases in heat and power consumption.

Professor Geraint Rees, Pro-Vice-Provost of Artificial Intelligence at UCL, writes that AI can and must be used for good, to complement and augment human endeavour rather than replace it. Recent advances in deepfake video technology have led to a rapid increase of such videos in the public domain in the past year.