AI systems might help solve some of the greatest challenges we face. How do we maximise the promise and prepare for this future?

Predictive touch system

AI-based ‘no-touch touchscreen’ could reduce risk of pathogen spread from surfaces

23 Jul 2020

A ‘no-touch touchscreen’ developed for use in cars could also have widespread applications in a post-COVID-19 world, by reducing the risk of...

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New programme to accelerate AI research capability at Cambridge

24 Jun 2020

A new initiative at Cambridge will equip young researchers outside computer science with the skills they need to use machine learning and artificial...

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Coronavirus

Striking differences revealed in COVID-19 mortality between NHS trusts

12 Jun 2020

A University of Cambridge team led by Professor Mihaela van der Schaar and intensive care consultant Dr Ari Ercole of the Cambridge Centre for AI in...

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Harnessing AI in the fight against COVID-19

04 Jun 2020

AI assisted COVID-19 diagnostic and prognostic tool could improve resource allocation and patient outcomes.

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A good egg: robot chef trained to make omelettes

01 Jun 2020

A team of engineers have trained a robot to prepare an omelette, all the way from cracking the eggs to plating the finished dish, and refined the ‘...

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AI successfully used to identify different types of brain injuries

15 May 2020

Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.

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AI techniques in medical imaging may lead to incorrect diagnoses

12 May 2020

Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study...

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AI techniques used to improve battery health and safety

06 Apr 2020

Researchers have designed a machine learning method that can predict battery health with 10x higher accuracy than current industry standard, which...

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Progress using COVID-19 patient data to train machine learning models for healthcare

03 Apr 2020

Following from last week's call for governments to use machine learning and AI techniques to help in the fight against the COVID-19 pandemic...

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Women in STEM: Krittika D'Silva

05 Mar 2020

Krittika D'Silva is a PhD candidate in the Department of Computer Science and Technology, a Gates Cambridge Scholar and a member of Jesus College...

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Women in STEM: Agnieszka Słowik

16 Jan 2020

Agnieszka Słowik is a PhD candidate in the Department of Computer Science and Technology, where she is a member of the artificial intelligence...

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Women in STEM: Vidhi Lalchand

07 Nov 2019

Vidhi is a PhD candidate at the Cavendish Laboratory, a Turing Scholar, and a member of Christ’s College. Here, she tells us about growing up in...

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