While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The models are already using knowledge from one field to address seemingly completely different problems in another.
Researchers have developed an AI-powered ‘scientific assistant’ designed to accelerate the scientific process by helping them identify new research questions, analyse and interpret data, and produce scientific documents.
Nine outstanding Cambridge scientists have been elected as Fellows of the Royal Society, the UK’s national academy of sciences and the oldest science academy in continuous existence.
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.
Suzano, one the world’s largest producers of bio-based raw materials, based in São Paulo, Brazil, establishes a long-term initiative with Jesus College and the University of Cambridge.
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