Workshop on Artificial Intelligence in Mathematics and Mathematics Education
Department of Mathematical Sciences
Location: Wesley J. Howe Center, Room 303 (Fielding) and Zoom
SPEAKER & TITLE OF TALK
Alexei Miasnikov — Experimental Mathematics
Brett Berger — Finiteness of Burnside and Other Groups
Vlad Stepanov — Mixing Algorithms
Sergey Gukov — AI Tools for Long-Horizon, Sparse-Reward Tasks
Robert Gilman — Deep Learning Attacks on Hash Functions
Eric Ramos — An AI-Enhanced Approach to the Tree Unimodality Conjecture
Artem Elmuratov — Nebius Academy
Stan Fedotov — AI-Assisted Mathematical Discovery Courses
Pavel Dubovski — AI in Mathematical Modeling
Jan Cannizzo — AI as a Tool to Facilitate Mastery Learning at Scale
Alex Myasnikov — On the Next Generation of Automated Math Tutors
Attendance: This is a technical talk open to all.
A campus map is available at https://tour.stevens.edu.
Additional information is available at https://web.stevens.edu/algebraic/.
Discrimination notice: Persons of all identities are invited to and included in this group. Stevens does not discriminate against any person on the basis of sex, race, religion, disability, sexual orientation, gender expression, or any other basis prohibited by law.
Photo and video notice: At any time, photography or videography may be occurring on Stevens’ campus. Resulting footage may include the image or likeness of event attendees. Such footage is Stevens’ property and may be used for Stevens’ commercial and/or noncommercial purposes. By registering for and/or attending this event, you consent and waive any claim against Stevens related to such use in any media. See Stevens' Privacy Policy for more information.