Workshop: Learning Dynamics in Natural and Artificial Intelligence
A three-day workshop hosted by the Kempner Institute at Harvard University. Please reach out to kempnerinstitute@harvard.edu with any questions about this event.
Join us for a three-day workshop that will convene researchers from artificial intelligence, neuroscience, cognitive science, and related disciplines to examine the principles governing learning and training dynamics across natural and artificial systems.
Workshop information
Visit the workshop website for full information about the event, including speakers, thematic areas, registration and abstract submission.
About the workshop
Organized around themes at the intersection of evolution, biological intelligence, and AI, the meeting will explore how biological and artificial systems each achieve — or fail to achieve — efficiency, flexibility, robustness, and generalization. Researchers will explore how inductive bias, adaptation, inheritance, developmental constraints, selection, and multi-agent interaction may help illuminate the mechanisms underlying these similarities and differences and consider the forces that drive systems toward more generalized, versatile intelligence versus narrower specialization.
By bringing these perspectives into dialogue, the workshop aims to clarify shared theoretical questions, identify productive points of methodological and conceptual overlap, and stimulate new interdisciplinary collaborations on the foundations of learning in both biological and artificial domains.