Data Science and AI Institute & Krieger School Symposium Series: AI for Intelligent Materials and Molecules

Description

The Data Science and AI Institute and the Krieger School of Arts and Sciences (KSAS) recently launched a series of symposia on the confluence of artificial intelligence (AI) with the humanities and the natural and social sciences. The goal is to create a community of scholars whose interests include using AI tools in their research and/or are studying AI's impact on society. Each symposium will focus on timely themes and speakers will prepare their talks for general, well-informed audiences. Most speakers will be KSAS scholars in the humanities and the natural and social sciences. However, the symposia will also include AI and data-science researchers from other university divisions.

The next symposium will focus on "AI for Intelligent Materials and Molecules."

Agenda:

• 4-4:30 p.m.: Paulette Clancy, Department of Chemical and Biomolecular Engineering
• 4:30-5 p.m.: Rigoberto Hernandez, Department of Chemistry
• 5-5:30 p.m.: Tyrel McQueen, Department of Physics and Astronomy and Department of Chemistry
• 5:30-6 p.m.: Xiongyi Huang, Department of Chemistry
• 6-6:30 p.m.: Reception

In this timely symposium, speakers will address various aspects of how AI and data science help create new materials and molecules. This is the main theme of the Nobel Prize of Chemistry for 2024. Each speaker will give a talk on the topic, followed by an audience Q&A session.