Referent: Prof. Yann LeCun, Ph.D.
Moderation: Prof. Dr. Gitta Kutyniok
How could machines learn as efficiently as humans and animals? How could machines learn to reason and plan? How could machines learn representations of percepts and action plans at multiple levels of abstraction, enabling them to reason, predict, and plan at multiple time horizons? Yann LeCun will propose a possible path towards autonomous intelligent agents, based on a new modular cognitive architecture and a somewhat new self-supervised training paradigm.
Yann LeCun ist Chief AI Scientist für Meta AI Research und Professor am Courant Institute of Mathematical Sciences an der New York University.
Der Vortrag findet in Kooperation mit baiosphere – the Bavarian AI Network statt.