̽��ֱ��

Industry placements for PhD students can be hugely beneficial for all concerned. We hear from two former students and the companies they worked for.

Cambridge researchers lay out the need for design safety protocols that prevent the emerging “digital afterlife industry” causing social and psychological harm. 

Machines 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.

A study has found that the AI model GPT-4 significantly exceeds the ability of non-specialist doctors to assess eye problems and provide advice.

Researchers have used artificial intelligence techniques to massively accelerate the search for Parkinson’s disease treatments.

Two leading academics from the ̽��ֱ��'s School of Humanities and Social Sciences provide a framework that supports scholars and students in navigating generative AI.

Three 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.

Election disruption, deepfakes, the metaverse and more will be explored and debated by Cambridge ̽��ֱ�� researchers.

Professor 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. 

Dawn 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.