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Department of Computer Science and Technology

Read more at: The Atomic Human - Understanding Ourselves in the Age of AI
Prof Neil Lawrence's book 'The Atomic Human - Understanding Ourselves in the Age of AI' is published in June 2024 by Penguin

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.



Read more at: Computational method produces robust roadmap of how brain regions are related
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.


Read more at: Applications open for new 'Data Science For Science' course
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.


Read more at: New funding programme to help deploy AI for research and innovation

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.


Read more at: New Python for Science course will help researchers learn programming skills

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.


Read more at: AI for science: frontiers, opportunities and challenges

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.


Read more at: Accelerate Programme funds PhD studentships in Computer Science

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.



Read more at: July Data for Science Residency: applications open

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.