29

Sep

Teaser image to From Machine Learning to Autonomous Intelligence

Munich AI Lectures

From Machine Learning to Autonomous Intelligence

Yann LeCun, Courant Institute of Mathematical Sciences at New York University, Meta

   29.09.2023

   2:15 pm - 3:30 pm

   Plenarssitzungssaal, BAdW

How can machines learn like humans? Yann LeCun, Chief AI Scientist at Meta AI Research, outlines a path to autonomous agents using a modular architecture and a novel training paradigm. Emphasizing a predictive world model for planning, H-JEPA, an innovative energy-based model, learns hierarchical text representations efficiently.


Related

Link to TBA

Colloquium  •  05.02.2025  •  LMU Department of Statistics and via zoom

TBA

Colloquium at the LMU Department of Statistics with Isabel Valera (Saarland University in Saarbrücken).


Link to TBA

Colloquium  •  29.01.2025  •  LMU Department of Statistics and via zoom

TBA

Colloquium at the LMU Department of Statistics with Sophie Langer (University of Twente).


Link to TBA

Colloquium  •  15.01.2025  •  LMU Department of Statistics and via zoom

TBA

Colloquium at the LMU Department of Statistics with Sonja Greven (HU Berlin).


Link to TBA

Colloquium  •  11.12.2024  •  LMU Department of Statistics and via zoom

TBA

Colloquium at the LMU Department of Statistics with Stijn Vansteelandt (Ghent University).


Link to The Mathematical Universe behind Deep Neural Networks

Munich AI Lectures  •  25.11.2024  •  Große Aula der LMU Geschwister-Scholl-Platz 1, Room 120 80539 München

The Mathematical Universe behind Deep Neural Networks

Join us on Nov 25 for Prof. Helmut Bölcskei’s lecture on the mathematical foundations driving deep neural networks, hosted by Bavarian AI at LMU.