AI in Physics and Math Seminar by Dan Lathrop and Hibiki Kato

Two 20 minute talks.  The first talk is by Dan Lathrop

Title:  AI in Physics

Abstract:
Our UMD physics department is currently discussing the impact and use of AI/LLMs in research and coursework. I will reflect on my own uses, discussions with students in my courses this past year, and discussions in the faculty committee devoted to this topic.

The second talk is by Hibiki Kato. 

Title: Deciphering DNA using AI
Abstract:
DNA is often described as the blueprint of life, yet reading that blueprint remains far from straightforward. Genome annotation is the task of identifying which parts of DNA correspond to biologically meaningful elements such as genes, transcripts, coding regions, and splice sites. AI has recently become a powerful tool for this problem, but accurate annotation remains challenging. In this talk, I will describe our team's approach to deciphering DNA by combining AI analysis of sequence data with biological evidence from the organism itself, aiming to produce more accurate and trustworthy genome annotations.