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Computer Science - Environment - 06.05.2021
Algorithm to improve aid response to victims in disaster zones
Algorithm to improve aid response to victims in disaster zones
Research into disaster planning addresses issue of considering how to restore distribution networks alongside providing immediate aid. A University of Bath School of Management academic has developed an algorithm to help charities and aid organisations improve the way they help victims of storms, floods, earthquakes and other natural disasters.

Computer Science - Physics - 30.04.2021
’Bat-sense’ tech generates images from sound
Scientists have found a way to equip everyday objects like smartphones and laptops with a bat-like sense of their surroundings. At the heart of the technique is a sophisticated machine-learning algorithm which uses reflected echoes to generate images, similar to the way bats navigate and hunt using echolocation.

Physics - Computer Science - 29.04.2021
Machine learning algorithm helps unravel the physics underlying quantum systems
Machine learning algorithm helps unravel the physics underlying quantum systems
Scientists from the University's Quantum Engineering Technology Labs (QETLabs) have developed an algorithm that provides valuable insights into the physics underlying quantum systems - paving the way for significant advances in quantum computation and sensing, and potentially turning a new page in scientific investigation.

Computer Science - Sport - 28.04.2021
Virtual Reality could help improve balance in older people
Researchers at CAMERA are investigating VR technology to help improve balance and prevent falls. Last updated on Wednesday 28 April 2021 Researchers at the University of Bath investigating how virtual reality (VR) can help improve balance believe this technology could be a valuable tool in the prevention of falls.

Health - Computer Science - 15.03.2021
Machine learning models for diagnosing COVID-19 are not yet suitable for clinical use
Machine learning models for diagnosing COVID-19 are not yet suitable for clinical use
Systematic review finds that machine learning models for detecting and diagnosing COVID-19 from medical images have major flaws and biases, making them unsuitable for use in patients. However, researchers have suggested ways to remedy the problem.

Materials Science - Computer Science - 05.03.2021
Researchers use sound to shape the future of printing
Researchers use sound to shape the future of printing
Researchers have developed a way to coax microscopic particles and droplets into precise patterns by harnessing the power of sound in air. The implications for printing, especially in the fields of medicine and electronics, are far-reaching. The scientists from the Universities of Bristol and Bath have shown that it's possible to create precise, pre-determined patterns on surfaces from aerosol droplets or particles, using computer-controlled ultrasound.

Computer Science - Psychology - 04.03.2021
Speed of expression offers vital visual cues
The speed at which we produce facial expressions plays an important role in our ability to recognise emotions in others, according to new research at the University of Birmingham. A team in the University's School of Psychology carried out research which showed that people tend to produce happy and angry expressions more rapidly, while sad expressions are produced more slowly.

Life Sciences - Computer Science - 19.02.2021
Making sense of the mass data generated from firing neurons
Scientists have achieved a breakthrough in predicting the behaviour of neurons in large networks operating at the mysterious edge of chaos. New research from the University of Sussex and Kyoto University outlines a new method capable of analysing the masses of data generated by thousands of individual neurons.

Physics - Computer Science - 15.02.2021
Light used to detect quantum information stored in 100,000 nuclear quantum bits
Light used to detect quantum information stored in 100,000 nuclear quantum bits
Researchers have found a way to use light and a single electron to communicate with a cloud of quantum bits and sense their behaviour, making it possible to detect a single quantum bit in a dense cloud. We don't have a way of 'talking' to the cloud and the cloud doesn't have a way of talking to us. But what we can talk to is an electron: we can communicate with it sort of like a dog that herds sheep Mete Atatüre The researchers, from the University of Cambridge, were able to inject a 'needle' of highly fragile quantum information in a 'haystack' of 100,000 nuclei.

Psychology - Computer Science - 05.02.2021
Tweets of fear used to spread malicious viruses online
Cybercriminals are preying on emotions of fear to spread dangerous viruses and spyware across Twitter, new research has revealed. Scientists from Cardiff University have shown, for the first time, that tweets containing malicious links are more likely to contain negative emotions, and that it is the content of the tweet that increases the likelihood of it being liked and shared, as opposed to the number of followers of the poster.

Health - Computer Science - 28.01.2021
Anonymous cell phone data can quantify behavioral changes for flu-like illnesses
Being prepared for a pandemic, like COVID-19, depends on the ability to predict the course of the pandemic and the human behaviour that drives spread in the event of an outbreak. Cell phone metadata that is routinely collected by telecommunications providers can reveal changes of behavior in people who are diagnosed with a flu-like illness, while also protecting their anonymity, a new study has found.

Computer Science - Mathematics - 27.01.2021
A sunny outlook for speedier weather forecasts
Official weather forecasts are being produced faster and more efficiently, thanks to revolutionary technology designed by scientists at the University of Bath. Last updated on Friday 5 February 2021 Official weather forecasts are being produced faster and more efficiently, thanks to revolutionary technology designed by scientists at the University of Bath.

Computer Science - Health - 18.12.2020
New app to monitor Parkinson’s progression at home
A new smartphone app developed by researchers at UCL and Birkbeck, University of London, is enabling doctors to remotely monitor their patients' progression of Parkinson's symptoms, as reported in a new clinical trial. The findings, published in npj Parkinson's Disease , show that the app can provide clinicians with a more complete picture of a person's condition than they can get from a typically brief medical check-up.

Computer Science - Environment - 03.12.2020
UofG experts contribute to net-zero transition report
Researchers from the University of Glasgow's School of Mathematics and Statistics have contributed to a major new report on how digital technology could help the UK achieve its net-zero goals. The Royal Society's report, published today, suggests that digital technology, from smart meters to supercomputers, weather modelling and AI, could deliver nearly one third of the carbon emission reductions required by 2030.

Computer Science - 13.11.2020
Computer vision app allows easier monitoring of diabetes
A computer vision technology developed by University of Cambridge engineers has now been developed into a free mobile phone app for regular monitoring of glucose levels in people with diabetes. As someone with diabetes, this app makes the whole process easier. I've now forgotten what it was like to enter the values manually, but I do know I wouldn't want to go back to it James Charles The app uses computer vision techniques to read and record the glucose levels, time and date displayed on a typical glucose test via the camera on a mobile phone.

Health - Computer Science - 13.11.2020
Multiple simulations best for Covid-19 predictions
Computer modelling used to forecast Covid-19 mortality contains significant uncertainty in its predictions, according to a new study led by researchers at UCL and the CWI institute in the Netherlands. The authors of the study, performed for the Royal Society's RAMP initiative for Rapid Assistance in Modelling the Pandemic, highlighted that however well constructed such models are, they are only ever as robust as the "input" parameters - which include highly uncertain factors relating to how the disease is spread.

Computer Science - Life Sciences - 11.11.2020
Unravelling the secrets of spider limb regeneration to inspire new gen soft-robotics
Spider webs are engineering marvels constructed by 8 legged experts with 400 million years of accumulated know-how.  Much can be learned from the building of the spider's gossamer net and the operation of its sticky trap.  Amazingly, garden cross spiders can regenerate lost legs and use them immediately to build a web that is pitch-perfect, even though the new limb is much shorter than the one it replaced.  This phenomenon has allowed scientists to probe the rules the animal uses to build its web and how it uses its legs as measuring sticks.

Computer Science - 11.11.2020
PLATYPUS reveals new vulnerabilities discovered in Intel processors
An international team of security researchers, including experts from the University of Birmingham, is presenting new side-channel attacks, which use fluctuations in software power consumption to access sensitive data on Intel CPUs. Power side-channel attacks are attacks that exploit fluctuations in power consumption to extract sensitive data such as cryptographic keys.

Computer Science - 02.11.2020
Research to use artificial intelligence to identify sick livestock
The welfare of livestock could be improved thanks to a new research project that will use novel artificial intelligence methods combined with behavioural analytics to provide rapid and reliable insights to animal health for farmers across the UK. The team headed by Dr Chris Cormack at QF will run a feasibility study with Professor Andrew Dowsey and animal welfare experts, Dr Siobhan Mullan, Dr Suzanne Held and Professor Michael Mendl at the University of Bristol and Agri-EPI Centre at their South West Dairy Development Centre in Somerset.

Computer Science - Life Sciences - 13.10.2020
Cameras that can learn
SCAMP-5d vision system The University of Manchester, 2020 SCAMP-5d's hardware architecture.
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