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.

Research community

Cambridge University hosts a vibrant community of over 12,000 staff across over 150 Departments. Researchers across disciplines are engaged in developing, deploying, and understanding the impact of AI technologies. Find out more about members of our AI research community here.

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Adrian Weller

Alan Blackwell

Albert Cardona

Alex Archibald

Alexandre Almeida

Alexandru Marcoci

Alexei Lapkin

Andrew Grace

Andy Neely

Ann Copestake

Glenster Ann Kristin

Anna Korhonen

Anne Ferguson Smith

Apolline Taillandier

Soumya Banerjee

Viviana Bastidas Melo

Paula Buttery

Carl Henrik Ek

Carola-Bibiane Schönlieb

Jerry Chen

Chris Pickard

Alec Christie

Colm-cille Caulfied

David Coomes

Matt Davis

Ramit Debnath

Diane Coyle

Lynn Dicks

Chris Edsall

Eleanor Drage

Elizabeth Soilleux

Guy Emerson

Emily Shuckburgh

Emma Boland

Florian Jaeckle

Florian Markowetz

Francis Kelly

Marla Fuchs

Fumiya Iida

Diana Fusco

Gábor Csányi

Jenny Gibson

Sam Gilbert

Gina Neff

Gos Micklem

Ongar Gulati

Ajay Halai

Haydn Belfield

Henrik Jönsson

Henrik Salje

Manuel Herrera

Indira Ganesh

Sadiq Jaffer

Jatinder Singh

Jessica Montgomery

John Aston

Mark Johnson

José Miguel Hernández Lobato

Julian Huppert

Julius Christopher Baeck

Katarzyna Nowaczyk-Basińska

Napoleon Katsos

Kenza Tazi

Kerry McInerney

Kate Knill

Nikhil Krishnan

Leila Muresan

Emily Lines

Lucia Reisch

Erik Mackie

Anil Madhavapeddy

Mark Girolami

Mateja Jamnik

Matthew Castle

Maurice Chiodo

Michael Boemo

Milena Ivanova

Mireia Crispin-Ortuzar

Anna Moore

Sarah Morgan

Henry Moss

Nathan Luke Abraham

Neil Lawrence

Nicholas Lane

Amy Orben

Dominic Orchard

Kwadwo Oti-Sarpong

Harry Owen

Pauline Luise Pfuderer

Silviu Petrovan

Pietro Liò

Brechtje Post

Reham Hosny

Sam Reynolds

Richard Durbin

Richard Harrison

Richard Prager

Robert Wardrop

Ross King

Robert Rouse

Sach Mukherjee

Sarah Teichmann

Scott Hosking

Sean O hEigeartaigh

Sebastian Eves-van den Akker

Shahar Avin

Simon Godsill

Sjors Scheres

Rebecca Smith

Gordon Smith

Somenath Bakshi

Keshav Srinivasan

Stephen Cave

Tim Minshall

Tomasz Hollanek

Ulrike Tillmann

Mo Vali

Vito Mennella

Jane Walsh

Li Wan

Staci Weiss

William Sutherland

Alex Woolgar

Junwei Yang

Zoe Kourtzi

Zoubin Ghahramani

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.