Testing the water
30 May 2024Industry placements for PhD students can be hugely beneficial for all concerned. We hear from two former students and the companies they worked for.
From the climate crisis to personalised medicine, we are applying AI to the world’s major challenges, exploring its ethical dimensions and collaborating with industry to ensure that our research has the greatest impact.
Synonyms:
AI
Call for safeguards to prevent unwanted ‘hauntings’ by AI chatbots of dead loved ones
09 May 2024Cambridge researchers lay out the need for design safety protocols that prevent the emerging “digital afterlife industry” causing social and psychological harm.
Training AI models to answer ‘what if?’ questions could improve medical treatments
19 Apr 2024Machines can learn not only to make predictions, but to handle causal relationships. An international research team shows how this could make medical treatments safer, more efficient, and more personalised.
Artificial intelligence beats doctors in accurately assessing eye problems
17 Apr 2024A study has found that the AI model GPT-4 significantly exceeds the ability of non-specialist doctors to assess eye problems and provide advice.
AI speeds up drug design for Parkinson’s ten-fold
17 Apr 2024Researchers have used artificial intelligence techniques to massively accelerate the search for Parkinson’s disease treatments.
AI and scholarship: a manifesto
15 Mar 2024Two leading academics from the University's School of Humanities and Social Sciences provide a framework that supports scholars and students in navigating generative AI.
Three Cambridge researchers awarded Royal Academy of Engineering Chair in Emerging Technologies
14 Mar 2024Three Cambridge researchers – Professors Manish Chhowalla, Nic Lane and Erwin Reisner – have each been awarded a Royal Academy of Engineering Chair in Emerging Technologies, to develop emerging technologies with high potential to deliver economic and social benefits to the UK.
AI at Cambridge Festival 2024
05 Mar 2024Election disruption, deepfakes, the metaverse and more will be explored and debated by Cambridge University researchers.
Opinion: the future of science is automation
26 Feb 2024Professor Ross King from Cambridge's Department of Chemical Engineering and Biotechnology, who originated the idea of a 'Robot Scientist', discusses why he believes that AI-powered scientists could surpass the best human scientists by the middle of the century, but only if artificial intelligence for science is developed responsibly and ethically.
Ambitious goals for Dawn – the UK's fastest AI supercomputer
23 Feb 2024Dawn is now being deployed for use by scientists within Cambridge and across the UK to support ambitious goals in clean energy, personalised medicine and climate.
