Marking the 35th Anniversary of AI and Math -- an AMS special session Jan. 8, 2025 at the JMM in Seattle

[Dimitris Diochnos]

Come and join us at the 2025 (JMM) Joint Mathematics Meetings in Seattle. Our session will meet on the opening day of the JMM, which includes the AMS, MAA and a dozen other math meetings and big lectures (Jan 8-11, 2025). It will keep you very busy! A wealth of information can be found on the links from the home page for this meeting:

  https://www.jointmathematicsmeetings.org/meetings/national/jmm2025/2314_program.html

35th Anniversary of AI and Math

Wednesday, January 8, 2025: 8:30 AM - 17:00 PM

AMS Special Session

Celebrating the founding in 1990 of the biennial Int'l Symposium on AI and Math (ISAIM), selected past speakers, chairs, and colleagues will present recent research, with a particular emphasis on the foundations of AI and mathematical methods. Participants from a variety of disciplines will provide a unique forum for scientific exchange to foster new areas of applied mathematics and strengthen the scientific underpinnings of AI.

We look forward to this event as a reunion of the many friends who have participated in ISAIM over these 3½ decades. Simply register for the JMM at the link above – Registration and hotel reservations are open .

The organizers: 

Prof. Martin Charles Golumbic, Prof. Frederick Hoffman, Dr. Maria Provost

The Program:

Bayesian Strategic Classification

Lee Cohen, Stanford; Saeed Sharifi-Malvajerdi, TTIC; Kevin Stangl, TTIC; Ali Vakilian, TTIC; Juba Ziani, Georgia Tech

Second Order Regret Bounds for Contextual Bandits with Function Approximation

Aldo Pacchiano, Boston University

Digital Transformation of Mathematics. If? When? How?

David Donoho, Stanford University; Matan Gavish, Hebrew Univ. of Jerusalem

 

On the Stochastic Boolean Function Evaluation Evaluation Problem for Read-Once Formulas

Lisa Hellerstein, New York University

Visualizations of Search Behavior for Solving Constraint Satisfaction Problems

Berthe Y. Choueiry, University of Nebraska-Lincoln

Advances in AI through Mathematical Formalization: From Human-Like Decision Making to Probabilistic Reasoning

Kristen Brent Brent Venable, University of West Florida and IHMC

 

Meta Co-Training: Two Views are Better than One

Jay C. Rothenberger and Dimitrios I. Diochnos, The University of Oklahoma

 

35 Years of AI and Math

Martin Golumbic, Univ. of Haifa; Frederick Hoffman, Florida Atlantic University

 

Math + AI = AGI

Sergei Gukov, California Institute of Technology

Automated Identification of Cultural Norms Through Multimodal Extraction, Interpretation, and Knowledge Merging

Leora Morgenstern, SRI Future Concepts Division (formerly PARC)

Automated Reasoning for the Discrete Mathematician

Bernardo Subercaseaux, Carnegie Mellon University

Some thoughts on Math and AI

Alex Kontorovich, Rutgers University

Fast Rates in Pool-Based Batch Active Learning

Claudio Gentile, Google Research

 

Error-correcting codes, deep learning and machine learning interpretability

Gyorgy Turan, University of Illinois at Chicago and University of Szeged

 

Economics and Computation: The Second Edition

Jorg Rothe, HHU Düsseldorf