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.
Researchers have developed a machine learning algorithm to accurately detect heart murmurs in dogs, one of the main indicators of cardiac disease, which affects a large proportion of some smaller breeds such as King Charles Spaniels.
The creation of the new Clinical Professorship signals the importance of AI in the fight against cancer and builds on the University’s work to apply the latest technology to the world’s major challenges.
Specimens in a Cambridge museum will be brought to life through the power of Artificial Intelligence, by a team aiming to strengthen our connection with the natural world and reverse apathy towards biodiversity loss.
Two University alumni, Sir Demis Hassabis and Dr John Jumper, have been jointly awarded this year’s Nobel Prize in Chemistry for developing an AI model to solve a 50-year-old problem: predicting the complex structures of proteins.
Geoffrey Hinton, an alumnus of the University of Cambridge, was awarded the 2024 Nobel Prize in Physics, jointly with John Hopfield of Princeton University.
Researchers have developed a wearable ‘smart choker’ that uses a combination of flexible electronics and artificial intelligence techniques to allow people with speech impairments to communicate by detecting tiny movements in the throat.
Cambridge researchers are harnessing artificial intelligence to improve how forests are monitored. Associate Professor Dr Emily Lines and Research Associate Dr Harry Owen are using billions of laser-captured data points to measure biodiversity and make carbon accounting more accurate.
The Maxwell Centre at the University of Cambridge and SAS, leaders in data and AI, are launching a partnership aimed at accelerating healthcare innovation through enhanced access to advanced analytics.
New study proposes a framework for “Child Safe AI” following recent incidents which revealed that many children see chatbots as quasi-human and trustworthy.
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