Continual Learning in Minds and Machines

Name: Continual Learning in Minds and Machines
Start: 2026-09-22T14:53:37-04:00
Location: Columbia Business School

How can AI systems keep learning from experience?

An assistant working with a person or organization over time must remember past interactions, learn from limited feedback, and adapt as circumstances change. Continual learning studies how systems acquire new knowledge while preserving what remains useful. These questions connect AI research with the study of human learning and memory.

Co-organized by Columbia Business School’s AI in Business Initiative and the NSF AI Institute for Artificial and Natural Intelligence (ARNI), this workshop brings together researchers in machine learning, neuroscience, and cognitive science with industry teams building continually learning systems. We will examine how minds and machines learn over time, what biological memory can teach us about AI, and how to measure whether accumulated experience improves an agent’s decisions.

Continual Learning in Minds and Machines Photo Image

Conference Details:

Date: November 20^th, 2026 | Timing: 8:30 AM - 5PM
Location: Geffen Board Rooms (310/320/330)

View Registration

Speakers & Organizers

Speakers

Mengye Ren

Assistant Professor, Department of Computer Science and Data Science: New York University

Chris Maddison

Assistant Professor: University of Toronto

CIFAR AI Chair: Vector Institute

Kazuki Irie

Assistant Professor of Computer Science, Department of Computer Science & Wu Tsai Institute: Yale University

Ken Norman

Huo Professor in Computational and Theoretical Neuroscience: Princeton University

Anna Schapiro

Associate Professor: University of Pennsylvania

Todd Gureckis

Professor of Psychology and Data Science: New York University

Josh (Jovo) Vogelstein

Associate Professor and Co-Founder: Johns Hopkins University and Flourish

Dileep George

Head of AI Research: Astera

Daniel Russo

Philip H. Geier Jr. Associate Professor of Business: Decision, Risk, and Operations Division

Stephan Meier

James P. Gorman Professor of Business: Management Division

Adam Block

Assistant Professor of Computer Science: Columbia, Eletrical Engineering

Daphna Shohamy, Ph.D.

Director and CEO: Zuckerman Institute

Faculty Organizers

Hongseok Namkoong

Hongseok Namkoong is an assistant professor in the Decision, Risk, and Operations division at Columbia Business School and a member of the Data Science Institute.

View Profile

Richard Zemel

Richard Zemel is a professor of Computer Science at Columbia, as well as the Director of the NSF AI Institute for Artificial and Natural Intelligence (ARNI).