Uploaded September 2025 | Updated September 2026, 2 weeks ago
The Machine-Learning Revolution in Mathematics and Science – Part 2: Physical Sciences
It’s hard to keep up with all the tools that machine learning offers mathematics and theoretical science. It’s also hard to avoid the hype that tends to swirl around ML. Two panels of mathematicians and scientists who have pioneered the use of ML in their disciplines will discuss how they navigate these challenges.
The first panel will focus on mathematics research, in which proof assistants are enabling collaborations of a scale never before seen, while experimental mathematics and pattern-discovery algorithms are revealing new links between seemingly unrelated areas.
The second panel will focus on physical science, where ML provides fresh methods of simulation, of data analysis, and of effective descriptions of phenomena.
But some worry that these advances are not unequivocally good. ML may exacerbate biases in the data, shift how the research community assigns value to problems, give tech companies undue influence over pure research, and steer science away from its traditional goal of low-dimensional explanation. Will humans continue to be the protagonists of discovery, or will we one day be reduced to training and querying models like modern-day oracles?
Moderator:
George Musser
Panelists:
Thea Klæaboe Åarrestad
Kyle Cranmer
Maia Fraser
David Silver (ACM Prize in Computing 2019)
The 12th Heidelberg Laureate Forum took place from September 14–19, 2025. #HLF25
The Heidelberg Laureate Forum (HLF) is an annual networking conference where 200 carefully selected young researchers in mathematics and computer science spend a week interacting with the laureates of the most prestigious awards in their disciplines: the Abel Prize, ACM A.M. Turing Award, ACM Prize in Computing, Fields Medal, IMU Abacus Medal and Nevanlinna Prize.
The opinions expressed in the videos do not necessarily reflect the views of the Heidelberg Laureate Forum Foundation or any other person or associated institution involved in the making and distribution of these videos.
More information on the Heidelberg Laureate Forum: heidelberg-laureate-forum.org
Follow us on social media!
Blog: scilogs.spektrum.de/hlf
LinkedIn: linkedin.com/company/heidelberg-laureate-forum-foundation
Instagram: instagram.com/hlforum
Facebook: facebook.com/HeidelbergLaureateForum
Bluesky: https://bsky.app/profile/hlforum.bsky.social
flickr: flickr.com/photos/hlforum
The Machine-Learning Revolution in Mathematics and Science – Part 2: Physical Sciences
It’s hard to keep up with all the tools that machine learning offers mathematics and theoretical science. It’s also hard to avoid the hype that tends to swirl around ML. Two panels of mathematicians and scientists who have pioneered the use of ML in their disciplines will discuss how they navigate these challenges.
The first panel will focus on mathematics research, in which proof assistants are enabling collaborations of a scale never before seen, while experimental mathematics and pattern-discovery algorithms are revealing new links between seemingly unrelated areas.
The second panel will focus on physical science, where ML provides fresh methods of simulation, of data analysis, and of effective descriptions of phenomena.
But some worry that these advances are not unequivocally good. ML may exacerbate biases in the data, shift how the research community assigns value to problems, give tech companies undue influence over pure research, and steer science away from its traditional goal of low-dimensional explanation. Will humans continue to be the protagonists of discovery, or will we one day be reduced to training and querying models like modern-day oracles?
Moderator:
George Musser
Panelists:
Thea Klæaboe Åarrestad
Kyle Cranmer
Maia Fraser
David Silver (ACM Prize in Computing 2019)
The 12th Heidelberg Laureate Forum took place from September 14–19, 2025. #HLF25
The Heidelberg Laureate Forum (HLF) is an annual networking conference where 200 carefully selected young researchers in mathematics and computer science spend a week interacting with the laureates of the most prestigious awards in their disciplines: the Abel Prize, ACM A.M. Turing Award, ACM Prize in Computing, Fields Medal, IMU Abacus Medal and Nevanlinna Prize.
The opinions expressed in the videos do not necessarily reflect the views of the Heidelberg Laureate Forum Foundation or any other person or associated institution involved in the making and distribution of these videos.
More information on the Heidelberg Laureate Forum: heidelberg-laureate-forum.org
Follow us on social media!
Blog: scilogs.spektrum.de/hlf
LinkedIn: linkedin.com/company/heidelberg-laureate-forum-foundation
Instagram: instagram.com/hlforum
Facebook: facebook.com/HeidelbergLaureateForum
Bluesky: https://bsky.app/profile/hlforum.bsky.social
flickr: flickr.com/photos/hlforum
