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 探花直播鈥檚 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聽Bennett School of Public Policy聽opens this autumn, and is already leading work on two of the most pressing聽policy problems聽of our time: implementing AI and revitalising post-industrial regions.聽
探花直播UK government鈥檚 proposed 鈥榬ights reservation鈥 model for AI data mining tells British artists, musicians, and writers that 鈥渢ech industry profitability is more valuable than their creations鈥 say leading academics.
Cambridge researchers are to lead a 拢10 million project that could result in doctors being able to predict your individual chances of getting cancer and offer personalised detection and prevention.
探花直播Minister for AI and Digital Government, Feryal Clark MP, visited the 探花直播 of Cambridge on the day聽the Government announced their new AI Action Plan. 聽
Aspirations for the ability of AI to transform society couldn鈥檛 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 鈥渋ntention economy鈥.
What can exploding stars teach us about how blood flows through an artery? Or swimming bacteria about how the ocean鈥檚 layers mix? A collaboration of researchers, including from the 探花直播 of Cambridge, has reached a milestone toward training artificial intelligence models to find and use transferable knowledge between fields to drive scientific discovery.