A team of researchers based in the School of Engineering have developed electronic skin that could pave the way for soft, flexible robotic devices to assist with surgical procedures or aid people’s mobility.
Dr George Serghiou is part of a team of researchers who have created a new silicon-based material, which could make everyday computing devices faster and more efficient by processing information through light as well as electricity.
Machine Learning to Enable Cost-Effective Detectors at Borders
Nations need to protect their citizens from the threat of nuclear terrorism. Nuclear security deters and detects the smuggling of unique nuclear materials -- highly enriched uranium, weapons-grade plutonium or materials that produce a lot of radiation -- across national borders.
There are many exciting potential applications for AI in the stretched healthcare industry, particularly in disease detection and prediction through the analysis of medical records and imaging exams. AI is already prominent in this area but currently relies on high input levels from medical experts to organise data and guide algorithms to identify anomalies.
Our research will enable the development of advanced theory and computational methods to extract information and knowledge from healthcare records and imaging exams without the need for 'human' curation and supervision. The research promises to reduce healthcare costs and improve the quality of care by assisting or automating current workflows.
Our performance in everyday noisy situations is known to depend on aural and visual senses. The ‘multi-modal’ nature of speech perception has been confirmed by research, which has established that listeners unconsciously lip-read to improve the intelligibility of signals amid background noise.
Professor Sotirios (Sotos) Tsaftaris, has been appointed a Fellow of the European Lab for Learning and Intelligent Systems (ELLIS) – a European body which exists to promote excellence in research in machine learning and artificial intelligence (AI).
Microwave engineers, infectious disease specialists and polymer scientists from the University of Edinburgh, Heriot-Watt University and the University of Strathclyde have teamed up to create a novel microwave sterilisation method that could revolutionise the way ambulances and hospitals are being disinfected.
