• Accelerate Science
    Advancing scientific discovery with machine learning

  • Could AI accelerate your science?
    Join our data science for science course

  • An AI revolution in science?
    Join our next event

The Accelerate Programme for Scientific Discovery is an interdisciplinary research team using machine learning to advance the frontiers of science. Based in Cambridge University’s Department for Computer Science and Technology, Accelerate Science’s work includes:


Accelerate Science pursues research that applies machine learning to the scientific challenges of the 21st century, generating insights that accelerate scientific progress and creating AI tools that are capable of delivering benefits for science and society.


Education and training

Accelerate Science is creating learning and development opportunities that help equip researchers with the machine learning skills and tools they need to drive a new wave of scientific progress.



Accelerate Science is building a community of researchers committed to advancing the use of machine learning across research domains, with the aim of accelerating scientific discovery.


On 13 July, Professor Neil Lawrence will give a keynote at the University of Tuebingen's Annual Conference on Machine Learning in Science about how to design machine learning systems for real-world challenges. Find out more about our upcoming events here.

Machine learning and the physical world, July 2021

Read More

Read more about how graduates from our Data Science for Science Residency are using machine learning in their research

How can AI revolutionise your science?, July 2021

Read More

Welcome to the Accelerate Programme! This new initiative will be advancing research at the interface of machine learning and the sciences.

Accelerate website launches, April 2021