news 2017


Computer Science

Results 1 - 20 of 27.

Computer Science - Chemistry - 26.12.2017
Five AI breakthroughs that could change the face of science
Following years of research, AI is starting to have an impact on the way science is done, as these five Imperial studies from 2017 show. Barely a week has gone by in 2017 without warnings in the media about how Artificial intelligence (AI) and robotics is threatening to make all human workers redundant.

Health - Computer Science - 24.11.2017
Research collaboration aims to improve breast cancer diagnosis using AI
A new project to explore how artificial intelligence (AI) could improve breast screening could potentially lead to more accurate detection of cancers. The project will see a consortium of leading breast cancer experts, clinicians and academics partner with leaders in artificial intelligence (AI) research to explore whether AI could help detect and diagnose breast cancers more effectively.

Physics - Computer Science - 24.10.2017
Quantum computing breakthrough: Imperial scientist reveals latest findings
A materials expert says quantum computers may be able to come out of the cold, thanks to his research breakthrough. Dr Jonathan Breeze is from the Department of Materials at Imperial College London. He says his research breakthrough may help scientists overcome a major obstacle with quantum computers - the fact that they have to operate in conditions that are colder than deep space.

Computer Science - Electroengineering - 12.10.2017
Humanoid robot tests to explore AI ethics
Artificial intelligence researchers at the University of Bath have been awarded ¤250,000 to conduct a series of unique experiments on how people interact with humanoid robots. Dr Joanna Bryson and her research group in the Department of Computer Science have received the funding from the AXA Research Fund , which supports scientific discoveries that contribute to societal progress.

Computer Science - 11.10.2017
Future smartwatches could sense hand movement using ultrasound imaging
New research has shown future wearable devices, such as smartwatches, could use ultrasound imaging to sense hand gestures. The research team led by Professor Mike Fraser, Asier Marzo and Jess McIntosh from the Bristol Interaction Group (BIG) at the University of Bristol, together with University Hospitals Bristol NHS Foundation Trust (UH Bristol), presented their paper this summer [8-11 May] at one of the world's most important conferences on human-computer interfaces, held in Denver, USA.

Physics - Computer Science - 10.08.2017
Surprise discovery in the search for energy efficient information storage
Today almost all information stored on hard disc drives or cloud servers is recorded in magnetic media, because it is non-volatile (i.e. it retains the information when power is switched off) and cheap. For portable devices such as mobile phones and tablets, other forms of non-magnetic memory are used because the technology based on magnetism is impractical and is not energy efficient.

Mathematics - Computer Science - 10.08.2017
What’s the magic word? Artificial intelligence uses internet searches to help create mind association trick
Scientists from Queen Mary University of London (QMUL) have created an artificial intelligence (AI) that uses internet searches to help co-design a word association magic trick. The computer automatically sources and processes associated words and images required for the novel mind reading card trick which is performed by a magician.

Computer Science - Economics - 08.08.2017
Cybercriminals are not as anonymous as we think | University of Oxford
Understanding a cybercriminal's backstory - where they live, what they do and who they know, is key to cracking cybercrime, new research suggests. Online crime is of course online, but there is also a surprisingly strong offline and local dimension. Cybercriminals are often seen as faceless, international, computer masterminds, who are almost impossible to identify or understand as a result.

Health - Computer Science - 24.07.2017
Target ’best connected neighbours’ to stop spread of infection in developing countries, research suggests
An innovative new study takes a network theory approach to targeted treatment in rural Africa, and finds that a simple algorithm may be more effective than current policies, as well as easier to deploy, when it comes to preventing disease spread - by finding those with "most connections to sick people".

Physics - Computer Science - 19.07.2017
Imaging breakthrough reveals magnets’ internal patterns
A new imaging technique has helped scientists make a breakthrough in how they visualise the directions of magnetisation inside an object. Magnets play a vital role in everyday life, are used in everything from hard drives to energy production, and scientists have already been able to study the structure of thin films of magnetic materials.

Computer Science - Social Sciences - 26.06.2017
Detecting riots with Twitter
Social media can be an invaluable source of information for police when managing major disruptive events, new research from Cardiff University has shown. An analysis of data taken from the London riots in 2011 showed that computer systems could automatically scan through Twitter and detect serious incidents, such as shops being broken in to and cars being set alight, before they were reported to the Metropolitan Police Service.

Life Sciences - Computer Science - 12.06.2017
'Big Data' resource raises possibility of research revolution
’Big Data’ resource raises possibility of research revolution
A group of UK scientists involving researchers from the University of Bristol have demonstrated how aggregating image data from laboratories all around the world has the potential to revolutionise scientific research. The Image Data Resource (IDR) is a collaboration between scientists in the Open Microscopy Environment (OME) , based at Dundee, and groups at Universities of Cambridge and Bristol, and the European Bioinformatics Institute (EMBL-EBI).

Social Sciences - Computer Science - 08.06.2017
Fake online profiles easier to fish out with new software tool
Fake online profiles easier to fish out with new software tool
People who use fake profiles online could be more easily identified, thanks to a new tool co-developed by a computer scientist at Queen Mary University of London (QMUL). Dr Gareth Tyson and researchers from the University of Edinburgh have trained computer models to spot social media users who make up information about themselves â?- known as catfishes.

Computer Science - Social Sciences - 07.06.2017
Fake online profiles easier to fish out with new software tool
Fake online profiles easier to fish out with new software tool
People who use fake profiles online could be more easily identified, thanks to a new tool developed by computer scientists. Researchers have trained computer models to spot social media users who make up information about themselves - known as catfishes. The system is designed to identify users who are dishonest about their age or gender.

Health - Computer Science - 24.04.2017
Artificial intelligence can accurately predict future heart disease and strokes, study finds
Computers that can teach themselves from routine clinical data are potentially better at predicting cardiovascular risk than current standard medical risk models, according to new research at the University of Nottingham. The team of primary care researchers and computer scientists compared a set of standard guidelines from the American College of Cardiology (ACC) with four 'machine-learning' algorithms - these analyse large amounts of data and self-learn patterns within the data to make predictions on future events - in this case, a patient's future risk having of heart disease or a stroke.

Computer Science - Life Sciences - 13.04.2017
Biased bots: Human prejudices sneak into AI systems
Biased bots: Human prejudices sneak into AI systems
Many experts think of artificial intelligence systems as coldly logical and objectively rational. But in a new study researchers have demonstrated how machines can be reflections of us and acquire human-like biases. Common machine learning programs, when trained with ordinary human language available online, can acquire cultural biases embedded in the patterns of wording, the researchers found.

Computer Science - 03.04.2017
New study to investigate links between cybercrime and autistic traits
New study to investigate links between cybercrime and autistic traits
A new project between the University's Centre for Applied Autism Research , the charity Research Autism and the cybercrime unit of the National Crime Agency (NCA) - launched today (Monday 3 April) - will examine the links between cybercrime and autistic-like personality traits . While autism and higher autistic-like traits appear to be more prevalent among cyber criminals than for other types of crime, this link remains unproven.

Computer Science - 21.03.2017
Scientists look to AI for help in peer review
Scientists look to AI for help in peer review
Peer review is a cornerstone of the scientific publishing process but could artificial intelligence help with the process' Computer scientists from the University of Bristol have reviewed how state-of-the-art tools from machine learning and artificial intelligence are already helping to automate parts of the academic peer-review process.

Computer Science - Mathematics - 13.03.2017
Computing with spiders' webs
Computing with spiders’ webs
Do spiders use their web as a computer? New research, led by the Universities of Bristol and Oxford, will look at spiders' webs to investigate their computational capabilities and based on this research they will develop new sensor technology to measure vibrations and flow. Spiders' webs have evolved over hundreds of millions of years and can be surprisingly complex.

Physics - Computer Science - 07.03.2017
Legacy of brilliant young scientist is a major leap in quantum computing
Legacy of brilliant young scientist is a major leap in quantum computing
Researchers from the University of Bristol and Université Libre de Bruxelles have theoretically shown how to write programs for random circuitry in quantum computers. The breakthrough, published in the New Journal of Physics , is based on the work of first author, Dr Nick Russell, who tragically lost his life in a climbing accident last year.