News and reports

News

The five winners of the challenge - called AI-deas - have been selected by ai@cam: the University of Cambridge’s new flagship mission to drive AI innovation that benefits science, citizens and society. They will receive seed funding to get off the ground and support to scale their impact.

News

Richard Turner, Professor of Computer Vision and Machine Learning, recently gave a talk for the Cambridge Philosophical Society discussing the quiet AI revolution that has begun in the field of numerical weather prediction.

News

Researchers have developed a platform that combines automated experiments with AI to predict how chemicals will react with one another, which could accelerate the design process for new drugs.

News

Researchers have developed an adaptable algorithm that could improve road safety by predicting when drivers are able to safely interact with in-vehicle systems or receive messages, such as traffic alerts, incoming calls or driving directions.

News

Cambridge scientists have shown that placing physical constraints on an artificially-intelligent system – in much the same way that the human brain has to develop and operate within physical and biological constraints – allows it to develop features of the brains of complex organisms in order to solve tasks.

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
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