News

The Atomic Human - Understanding Ourselves in the Age of AI

5 June 2024

'The Atomic Human', a new book by our DeepMind Professor of Machine Learning, will try to reset the conversation around artificial intelligence when it is published this week.

Isaac Sebenius is interested in developing new computational methods that leverage biological knowledge to address open questions related to mental health and psychiatric disorders.

Computational method produces robust roadmap of how brain regions are related

18 July 2023

Researchers using computational methods to study MRI scans say they can produce a more detailed picture of the structural architecture of the human brain than was previously possible.

Chemist Dr Ryan Geiser is one of the researchers to have benefited from the Data Science for Science course

Applications open for new 'Data Science For Science' course

6 December 2022

PhD students and postdocs across Cambridge University can apply for a new training course that will equip them with skills in using data science to advance their research.

New funding programme to help deploy AI for research and innovation

11 July 2022

New grant funding is available to Cambridge University researchers pursuing innovative applications of AI.

New Python for Science course will help researchers learn programming skills

24 May 2022

A new self-learning module is being offered to help researchers across the University of Cambridge learn programming in Python. Meanwhile, applications have also just opened for the next Accelerate Data Science Residency.

AI for science: frontiers, opportunities and challenges

2 November 2021

How can we harness the potential of AI to accelerate scientific discovery? The frontiers, opportunities and challenges of doing so will be discussed at a symposium on 19th November.

Accelerate Programme funds PhD studentships in Computer Science

25 October 2021

A programme here promoting the use of machine learning to tackle major scientific challenges is offering funding for PhD students starting next autumn.

July Data for Science Residency: applications open

14 April 2021

PhD students and postdocs across Cambridge have another chance to apply for a funded training course that is successfully equipping scientists with powerful tools to progress their research.

An AI revolution in science? Using machine learning for scientific discovery

23 March 2021

An April event hosted by the Accelerate Programme for Scientific Discovery here will explore how AI can help advance the frontiers of science and how researchers can benefit from using AI in their work.

Image shows participants in the first Accelerate Data for Science Programme

Free 'Data for Science' training course for Cambridge researchers

27 November 2020

We are offering science PhDs and postdocs across the University of Cambridge the free 'Accelerate-Spark Data for Science' training course in February to help them apply data science tools to their own datasets and research problems.

Image shows Early Career Fellow Bianca Dumitrascu

New Fellows will help Accelerate Discovery

18 November 2020

Four Early Career Fellows have just joined our Accelerate Programme to help researchers across the University advance the frontiers of their work through the application of AI.

Schmidt Data for Science Course scores a hit

29 July 2020

Our first-ever Schmidt Data for Science Residency Programme is now underway – and is being enthusiastically received by the 27 PhDs and postdocs selected to participate.

Schmidt Data for Science Residency Programme

30 June 2020

We are offering PhDs and postdocs in science disciplines across Cambridge a free 'Data for Science' training course this summer.

New programme to accelerate AI research capability at Cambridge

22 June 2020

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