Published on: October 1, 2018
The machine learning algorithms that make self-driving cars, virtual personal assistants, and computer vision work are also changing how physicists investigate matter at the quantum level. In 2019, the annual Kavli Institute for Theoretical Physics (KITP) Teachers’ Conference will give teachers an accessible introduction to the topic—no quantum mechanics or machine learning background needed! Then, in interactive lectures, they will hear world-class physicists explain how they are using machine learning tools in their research.
Automating Insight: Pushing the Frontier of Quantum Physics with Machine Learning will be held on Saturday, February 16, 2019 at KITP, University of California, Santa Barbara. Join Dr. Miles Stoudenmire (Flatiron Institute) and physics educators from around the country for a look at how machine learning algorithms are advancing our understanding of physics. A description and logistical information is at https://www.kitp.ucsb.edu/activities/machinet-c19.
Registration is free and open to all. It includes a Friday evening reception at the conference hotel, Saturday morning breakfast at the hotel, and Saturday lunch at KITP. Register by January 17, 2019.
Generous support for travel and lodging expenses is available for current teachers. Register by October 21 for primary consideration for financial aid. After this date, requests may still be made, with awards made on a rolling basis, as budget permits.
Contact: Claudia Gutierrez (firstname.lastname@example.org)