Research

Research from the University of Cambridge is accelerating progress in AI’s core technical capabilities, enabling the application of AI technologies across sectors and disciplines, and building understandings of their impact and the levers to promote their ethical development.

Find out more about our research and innovation community

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How sure is sure? Incorporating human error into machine learning

Researchers are developing a way to incorporate one of the most human of characteristics – uncertainty – into machine learning systems.

Is Data Justice key to Climate Justice?

Biased artificial intelligence needs human help to avoid harmful climate action, Cambridge researchers say.

Machine learning models can produce reliable results even with limited training data

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.

AI-driven techniques reveal new targets for drug discovery

Researchers have developed a method to identify new targets for human disease, including neurodegenerative conditions such as Alzheimer’s disease.

Scientists begin building AI for scientific discovery using tech behind ChatGPT

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.

UK needs AI legislation to create trust so companies can ‘plug AI into British economy’

Legislating for AI safety and transparency will allow British industry and education to put resources into AI development with confidence, argue researchers.

Cambridge and Google partner to facilitate AI research

The University of Cambridge and Google are building on their long-standing partnership with a multi-year research collaboration agreement and a Google grant for the University’s new Centre for Human-Inspired AI to support progress in responsible AI that is inspired by and benefits people.

AI trained to identify least green homes by Cambridge researchers

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

Artificial intelligence beats doctors in accurately assessing eye problems

A study has found that the AI model GPT-4 significantly exceeds the ability of non-specialist doctors to assess eye problems and provide advice.

Training AI models to answer ‘what if?’ questions could improve medical treatments

Machines can learn not only to make predictions, but to handle causal relationships. An international research team shows how this could make medical treatments safer, more efficient, and more personalised.

AI able to identify drug-resistant typhoid-like infection from microscopy images in matter of hours

Artificial intelligence (AI) could be used to identify drug resistant infections, significantly reducing the time taken for a correct diagnosis, Cambridge researchers have shown. The team showed that an algorithm could be trained to identify drug-resistant bacteria correctly from microscopy images alone.

‘Smart choker’ uses AI to help people with speech impairment to communicate

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.

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Are you working on AI at Cambridge University?

In such a dynamic field, it isn’t easy to keep our researcher database up to date. If you think you should be on the list above, submit a profile via our website update form at the link below, or a pull request via our GitHub repo.