Better, faster and lighter diffusion models for medical diagnosis
8 November 2024
Accelerate Science pursues research at the interface of AI and the sciences, generating new scientific insights and developing AI methods that can be deployed to advance scientific knowledge. This research is carried out in partnership with a community of scientists and AI specialists passionate about the use of AI to benefit science and society.
8 November 2024
18 October 2024
8 October 2024
1 October 2024
We work at the interface of AI, science, and engineering to accelerate research and innovation. By combining research, training, and engagement activities, Accelerate Science aims to drive a step change in the use of AI for science across the University of Cambridge.
Read MoreAccelerate 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.
Read MoreThrough a range of learning and development activities, Accelerate Science is equipping early career researchers and future research leaders with the data science and machine learning skills that will enable them to drive a new wave of scientific progress.
Read MoreThrough its work, Accelerate Science is building a community of committed researchers to promote and facilitate the use of machine learning techniques across research domains, with the aim of accelerating the process of scientific discovery.
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