Under the bonnet at Dawn, the UK's fastest AI supercomputer
17 March 2025How AI supercomputer, Dawn, is being used to tackle some of the most pressing issues facing humanity.
How AI supercomputer, Dawn, is being used to tackle some of the most pressing issues facing humanity.
Cambridge scientist launches free AI-enabled virtual reality platform that transforms users into skilled and confident public speakers.
Dr Sam Nallaperuma-Herzberg is a Senior Research Associate at Cambridge University’s Department of Computer Science and Technology, and a Fellow in Artificial Intelligence (AI) for Science and Society at the Accelerate Programme for Scientific Discovery.
The Bennett School of Public Policy opens this autumn, and is already leading work on two of the most pressing policy problems of our time: implementing AI and revitalising post-industrial regions.
The UK government’s proposed ‘rights reservation’ model for AI data mining tells British artists, musicians, and writers that “tech industry profitability is more valuable than their creations” say leading academics.
Cambridge researchers are to lead a £10 million project that could result in doctors being able to predict your individual chances of getting cancer and offer personalised detection and prevention.
The Minister for AI and Digital Government, Feryal Clark MP, visited the University of Cambridge on the day the Government announced their new AI Action Plan.
Aspirations for the ability of AI to transform society couldn’t be higher. Realising this potential will require bridging the gap between AI development and public value. Cambridge's AI-deas initiative aims to do just that.
Conversational AI agents may develop the ability to covertly influence our intentions, creating a new commercial frontier that researchers call the “intention economy”.
What can exploding stars teach us about how blood flows through an artery? Or swimming bacteria about how the ocean’s layers mix? A collaboration of researchers, including from the University of Cambridge, has reached a milestone toward training artificial intelligence models to find and use transferable knowledge between fields to drive scientific discovery.