Topic description and stories

From the climate crisis to personalised medicine, we are applying AI to the world’s major challenges, exploring its ethical dimensions and collaborating with industry to ensure that our research has the greatest impact.

Cambridge launches Institute for Technology and Humanity

21 November 2023

A major interdisciplinary initiative has been launched that aims to meet the challenges and opportunities of new technologies as they emerge, today and far into the future.

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Aim policies at ‘hardware’ to ensure AI safety, say experts

14 Feb 2024

Chips and datacentres – the “compute” driving the AI revolution – may be the most effective targets for risk-reducing AI policies, according to a new...

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Robot arm and semiconductor

£11m semiconductor research centre could be key player in UK’s net zero mission

13 Feb 2024

The University of Cambridge is a partner in the new £11m Innovation and Knowledge Centre (IKC) REWIRE, set to deliver pioneering semiconductor...

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Abstract image of digital butterflies

Using AI to tackle society's biggest challenges

05 Feb 2024

The winners of a new prize supporting ambitious ideas for how artificial intelligence can address critical societal issues are announced today, with...

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Robot braille reader

Robot trained to read braille at twice the speed of humans

29 Jan 2024

Researchers have developed a robotic sensor that incorporates artificial intelligence techniques to read braille at speeds roughly double that of...

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Digital image of a molecule

Accelerating how new drugs are made with machine learning

15 Jan 2024

Researchers have developed a platform that combines automated experiments with AI to predict how chemicals will react with one another, which could...

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The Vice-Chancellor's Awards 2023 for Research Impact and Engagement

13 Dec 2023

Meet the winner of the Vice-Chancellor's Awards 2023 for Research Impact and Engagement and learn more about their projects.

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Head up display of traffic information and weather as seen by the driver

Using machine learning to monitor driver ‘workload’ could help improve road safety

07 Dec 2023

Researchers have developed an adaptable algorithm that could improve road safety by predicting when drivers are able to safely interact with in-...

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Graphic representing an artificially intelligent brain

AI system self-organises to develop features of brains of complex organisms

20 Nov 2023

Cambridge scientists have shown that placing physical constraints on an artificially-intelligent system – in much the same way that the human brain...

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Opinion: The AI Summit was a promising start – but momentum must be maintained

08 Nov 2023

Given the frenetic pace of AI development, the international consensus demonstrated at the AI Summit is much-needed progress, says AI expert Dr Seán...

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Modelling a sailboat in virtual reality.

Machine learning gives users ‘superhuman’ ability to open and control tools in virtual reality

08 Nov 2023

Researchers have developed a virtual reality application where a range of 3D modelling tools can be opened and controlled using just the movement of...

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Street view images of Cambridge houses showing building features contributing to HtD identification

AI trained to identify least green homes by Cambridge researchers

02 Nov 2023

First of its kind AI-model can help policymakers efficiently identify and prioritize houses for retrofitting and other decarbonizing measures.

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Dr Paul Calleja, Director of Dawn AI Service (left) and Professor Richard McMahon, Chair of Cambridge Research Computing Advisory Group and UKRI Dawn Principal Investigator (right) in front of Dawn.

Cambridge, Intel and Dell join forces on UK’s fastest AI supercomputer

01 Nov 2023

The Cambridge Open Zettascale Lab is hosting Dawn, the UK’s fastest artificial intelligence (AI) supercomputer, which has been built by the...

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