Jeremy Avigad to give this year's LMS/BCS-FACS Evening Seminar -- 6 November 2025, online via Zoom
Dear Colleagues, I am delighted to announce that this year’s London Mathematical Society (LMS) / British Computer Society -- Formal Aspects of Computing Science (BCS-FACS) Evening Seminar will feature Jeremy Avigad as the distinguished speaker. Registration is free but required in advance. Date: 6 November 2025 Time: 19:00 (UK time) Format: Online via Zoom Talk title: Mathematics in the Age of AI Jeremy’s website: https://lnkd.in/ep3w-fiB Registration (for access to the Zoom link) is available here: https://lnkd.in/eRE-Bb2A Further details about the talk are included below Best wishes, Andrei Speaker: Jeremy Avigad (Carnegie Mellon University) Title: Mathematics in the Age of AI Abstract: New technologies for reasoning and discovery are bound to have a profound effect on mathematical practice. Proof assistants are already changing the nature of collaboration, communication, and curation of mathematical knowledge. Automated reasoning tools are used to find mathematical objects with specified properties or rule out their existence, and to decide or verify mathematical claims. Machine learning and neural methods can discover patterns in mathematical data, explore complex mathematical spaces, and generate mathematical objects of interest. Neurosymbolic theorem provers, now capable of solving the most challenging competition problems, combine aspects of all of these technologies. It is helpful to keep in mind that the phrase "AI for mathematics" encompasses several distinct technologies that overlap and interact in interesting ways. In this talk, I will survey the landscape, describe a few landmark applications to mathematics, and encourage you to join me in thinking about how mathematicians and computer scientists can collaborate to guide mathematics through this era of technological change. Bio: Jeremy Avigad is a professor in the Department of Philosophy and the Department of Mathematical Sciences at Carnegie Mellon University. He is the director of the Institute for Computer-Aided Reasoning in Mathematics, a new NSF Mathematical Sciences Research Institute, and the director of the Hoskinson Center for Formal Mathematics, a research center at Carnegie Mellon. He has contributed to mathematical logic and the history and philosophy of mathematics, and he is currently working on applications of formal methods and AI to mathematics. He serves on the Lean Community Admin Team and the board of the Lean Focused Research Organization.
Dear Colleagues,
Apologies for my earlier message, which included LinkedIn-redirected
links by mistake. I’m resending the seminar info below with the
correct direct links:
Date: 6 November 2025
Time: 19:00 (UK time)
Format: Online via Zoom
Talk title: Mathematics in the Age of AI
Jeremy’s website: https://www.andrew.cmu.edu/user/avigad/
Registration (for access to the Zoom link):
https://www.lms.ac.uk/events/lms-bcs-facs-seminar-jeremy-avigad
Best wishes,
Andrei
On Wed, Oct 8, 2025 at 3:22 AM Andrei Popescu
Dear Colleagues,
I am delighted to announce that this year’s London Mathematical Society (LMS) / British Computer Society -- Formal Aspects of Computing Science (BCS-FACS) Evening Seminar will feature Jeremy Avigad as the distinguished speaker. Registration is free but required in advance.
Date: 6 November 2025 Time: 19:00 (UK time) Format: Online via Zoom Talk title: Mathematics in the Age of AI Jeremy’s website: https://lnkd.in/ep3w-fiB
Registration (for access to the Zoom link) is available here: https://lnkd.in/eRE-Bb2A
Further details about the talk are included below
Best wishes, Andrei
Speaker: Jeremy Avigad (Carnegie Mellon University) Title: Mathematics in the Age of AI
Abstract: New technologies for reasoning and discovery are bound to have a profound effect on mathematical practice. Proof assistants are already changing the nature of collaboration, communication, and curation of mathematical knowledge. Automated reasoning tools are used to find mathematical objects with specified properties or rule out their existence, and to decide or verify mathematical claims. Machine learning and neural methods can discover patterns in mathematical data, explore complex mathematical spaces, and generate mathematical objects of interest. Neurosymbolic theorem provers, now capable of solving the most challenging competition problems, combine aspects of all of these technologies.
It is helpful to keep in mind that the phrase "AI for mathematics" encompasses several distinct technologies that overlap and interact in interesting ways. In this talk, I will survey the landscape, describe a few landmark applications to mathematics, and encourage you to join me in thinking about how mathematicians and computer scientists can collaborate to guide mathematics through this era of technological change.
Bio: Jeremy Avigad is a professor in the Department of Philosophy and the Department of Mathematical Sciences at Carnegie Mellon University. He is the director of the Institute for Computer-Aided Reasoning in Mathematics, a new NSF Mathematical Sciences Research Institute, and the director of the Hoskinson Center for Formal Mathematics, a research center at Carnegie Mellon. He has contributed to mathematical logic and the history and philosophy of mathematics, and he is currently working on applications of formal methods and AI to mathematics. He serves on the Lean Community Admin Team and the board of the Lean Focused Research Organization.
participants (1)
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Andrei Popescu