Chi-kwan "CK" Chan (UA Astronomy), Kwang-Sung Jun (UA Computer Science), Tom Purcell (UA Chemistry and Biochemistry)
When
A Journey in three 15min lectures by:
Chi-kwan "CK" Chan, UA Astronomy
Title: Physics for AI, Physics of AI, and Physics from AI
Artificial intelligence (AI) is revolutionizing nearly every field, and physics is no exception. The 2024 Nobel Prize in Physics recognizes two pioneers of AI, highlighting the profound impact these technologies are having on scientific discovery. But the relationship goes both ways: physics can also help drive advancements in AI. In this brief talk, I’ll highlight a few examples of how AI is being used in physics and how principles from physics are helping to shape the future of AI.
Kwang-Sung Jun, UA Computer Science
Title: A broad introduction to artificial intelligence and machine learning
I will briefly review various machine learning paradigms and examples with a focus on interactive machine learning and the recent trend in applications.
Tom Purcell, UA Chemistry and Biochemistry
Title: Computational Protein Design in the AI Era
Being able to predict the structure of and design new proteins has been an overarching goal of biochemistry for the past several decades because the myriad biological pharmaceutical benefits it entails. With the advent of new computational tools, such as alpha fold, this goal now seems to be in sight. My talk will give background to the latest Nobel Prize in Chemistry for computational protein design, and thoughts on the field going forward
3:00 PM in PAS 201 / Zoom Meeting https://arizona.zoom.us/j/81283840289
Refreshments in PAS 218, 2:30PM