Cambridge researchers are to lead a £10 million project that could result in doctors being able to predict your individual chances of getting cancer and offer personalised detection and prevention.
An international team of scientists, including from the University of Cambridge, have launched a new research collaboration that will leverage the same technology behind ChatGPT to build an AI-powered tool for scientific discovery.
Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.
Biased artificial intelligence needs human help to avoid harmful climate action, Cambridge researchers say.
Cambridge scientists have set out principles for how computational science – which powers discoveries from unveiling the mysteries of the universe to developing treatments to fight cancer to improving our understanding of the human genome, but can have a substantial carbon footprint – can be made more environmentally sustainable.
As the climate emergency and cost-of-living crisis focus our minds on how to reduce energy, a group of scientists have highlighted the hidden environmental cost behind some of our major breakthroughs.
BKwai, a construction data company that helps engineers develop smarter, more sustainable infrastructure, has raised £2.2 million in seed funding from investors led by Octopus Ventures with participation from Cambridge Enterprise and Deeptech Labs.
Climate change is causing plants in the UK to flower a month earlier on average, which could have profound consequences for wildlife, agriculture and gardeners.
In the heart of London there is a farm like no other. It's subterranean, sustainable and energy smart. It also has a digital twin looking out for its every need.
World-leading AI technology developed by the Cambridge Centre for AI in Medicine and their colleagues – some of which is being showcased this week at the North American Cystic Fibrosis Conference 2020 – offers a glimpse of the future of precision medicine, and unprecedented predictive power to clinicians caring for individuals with the life-limiting condition.
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