Accelerating Scientific Discovery with Deep Learning

Add to your list(s) Download to your calendar using vCal

• Christopher Bishop (Microsoft (UK))
• Monday 23 June 2025, 16:00-17:00
• Seminar Room 1, Newton Institute.

If you have a question about this talk, please contact nobody.

RCLW03 - Accelerating statistical inference and experimental design with machine learning

Scientific discovery is one of the most promising application areas for AI and machine learning. Learned emulators, trained on simulated data, are already accelerating scientific modelling by multiple orders of magnitude across widely differing domains. This talk will give an introductory overview of scientific emulation and will be illustrated with examples from weather forecasting, drug discovery, materials design, and quantum chemistry.

This talk is part of the Isaac Newton Institute Seminar Series series.

This talk is included in these lists:

• All CMS events
• Featured lists
• INI info aggregator
• Isaac Newton Institute Seminar Series
• School of Physical Sciences
• Seminar Room 1, Newton Institute
• bld31

Note that ex-directory lists are not shown.