From Charles Babbage to Alan Turing, Cambridge could be considered the birthplace of modern computing. Today, 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 impact.

A clinician helping a COVID-19 patient with an oxygen mask in a hospital in Iran

World first for AI and machine learning to treat COVID-19 patients worldwide

15 Sep 2021

Addenbrooke’s Hospital in Cambridge along with 20 other hospitals from across the world and healthcare technology leader, NVIDIA, have used...

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Factories with smoke under cloudy sky

Cambridge-authored book explores how artificial intelligence could help address climate change

30 Aug 2021

Humanity is facing two existential threats. The first: uncontrolled CO2 emissions irreversibly changing the climate. The second: a hostile artificial...

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AI could detect dementia years before symptoms appear

12 Aug 2021

Artificial intelligence could spot the early signs of dementia from a simple brain scan long before major symptoms appear – and in some cases before...

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Professor Zoubin Ghahramani

Cambridge researcher named as Turing AI World-Leading Researcher Fellow

30 Jul 2021

Five internationally-recognised researchers, including Cambridge’s Professor Zoubin Ghahramani, have been appointed as the first Turing AI World-...

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Graphical representation of COVID-19 and network analysis

Scientists identify 160 new drugs that could be repurposed against COVID-19

30 Jun 2021

Cambridge scientists have identified 200 approved drugs predicted to work against COVID-19 – of which only 40 are currently being tested in COVID-19...

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Machine Learning & Artificial Intelligence

Can federated learning save the world?

10 May 2021

Training the artificial intelligence models that underpin web search engines, power smart assistants and enable driverless cars, consumes megawatts...

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Cytosponge

Artificial intelligence could be used to triage patients suspected at risk of early-stage oesophageal cancer

15 Apr 2021

Artificial intelligence ‘deep learning’ techniques can be used to triage suspected cases of Barrett oesophagus, a precursor to oesophageal cancer...

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Use of AI to fight COVID-19 risks harming 'disadvantaged groups', experts warn

16 Mar 2021

Rapid deployment of artificial intelligence and machine learning to tackle coronavirus must still go through ethical checks and balances, or we risk...

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Novel Coronavirus SARS-CoV-2

Machine learning models for diagnosing COVID-19 are not yet suitable for clinical use

15 Mar 2021

Systematic review finds that machine learning models for detecting and diagnosing COVID-19 from medical images have major flaws and biases, making...

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Red bars on black background

Cambridge launches Regulatory Genome Project

21 Dec 2020

The project will use machine learning to sequence the world’s regulatory text and create an open-source repository of machine-readable regulatory...

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Dr Raj Jena and Yvonne Rimmer look at scans

AI could help cut waiting times for cancer by automating mark-up of patient scans prior to radiotherapy

16 Dec 2020

Doctors at Addenbrooke’s Hospital in Cambridge aim to drastically cut cancer waiting times by using artificial intelligence (AI) to automate lengthy...

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First Master’s programme on managing the risks of AI launched by Cambridge

07 Dec 2020

The UK’s first Master’s degree in the responsible use of artificial intelligence (AI) is being launched by the University of Cambridge.

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