How Mathematics Can Drive Innovation in Artificial Intelligence

Series
School of Mathematics Colloquium
Time
Thursday, August 28, 2025 - 11:00am for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Talitha Washington – Howard University – Talitha.Washington@howard.eduhttps://www.talithawashington.com/
Organizer
Harold Blum, Xiaoyu He, Julia Lindberg, Rose McCarty, John McCuan, Dmitrii Ostrovskii, and Wei Zhu

Mathematics is at the core of artificial intelligence, from the linear algebra that powers deep learning to the probability and optimization driving new algorithms. We will explore how mathematical ideas can open new directions for AI innovation and how recent U.S. AI policy trends are shaping research priorities. Together, these perspectives reveal opportunities for mathematicians to influence the design and future of AI technologies.