RIKEN seminar

"A Triangle of Influence: Bringing Together Physics, Pure Mathematics, and Computer Science"

Presented by James Halverson, Northeastern

Thursday, February 4, 2021, 9:00 am — Videoconference / Virtual Event (see link below)

Abstract: Recent advances in machine learning have begun creating new bridges to physics and mathematics that have traditionally existed between the latter two. Given this progress, I will speculate about where we are and where things might be headed, including through the recently launched NSF AI Institute for Artificial Intelligence and Fundamental Interactions. Specifically, I'll survey well-known machine learning results in supervised learning, reinforcement learning, and generative models, and explain cases where these techniques are already impacting physics and math. In more detail, I will explain some remarkable similarities between neural networks and quantum field theory that might point towards a theoretical understanding of deep learning, and also how an AI agent's ability to unknot headphones might provide useful in cracking a foundational problem in topology.

Hosted by: Akio Tomiya

Join Videoconference More Information

16127  |  INT/EXT  |  Events Calendar


Not all computers/devices will add this event to your calendar automatically.

A calendar event file named "calendar.ics" will be placed in your downloads location. Depending on how your device/computer is configured, you may have to locate this file and double click on it to add the event to your calendar.

Event dates, times, and locations are subject to change. Event details will not be updated automatically once you add this event to your own calendar. Check the Lab's Events Calendar to ensure that you have the latest event information.