29

Sep

Teaser image to From Machine Learning to Autonomous Intelligence

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 Enlarging the Capability of Diffusion Models for Inverse Problems by Guidance

Munich AI Lectures  •  11.03.2024  •  LMU Munich, Theresienstraße 39, Room B 006

Enlarging the Capability of Diffusion Models for Inverse Problems by Guidance

Munich AI Lecture with Prof. Dr. Jong Chul Ye from KAIST on using diffusion models to solve inverse problems


Link to Thoughts on Artificial Intelligence

Munich AI Lectures  •  14.07.2023  •  LMU Audimax

Thoughts on Artificial Intelligence

Jürgen Schimdhuber, one of leading AI researchers worldwide, shares in his talk in the LMU Audimax his thoughts on AI.


Link to Explainable AI via Semantic Information Pursuit

Munich AI Lectures  •  08.03.2023  •  Livestream on YouTube

Explainable AI via Semantic Information Pursuit

Join the presentation of René Vidal, John Hopkins University.


Link to The highs and lows of performance evaluation: Towards a measurement theory for machine learning

Munich AI Lectures  •  08.02.2023  •  Livestream on YouTube

The highs and lows of performance evaluation: Towards a measurement theory for machine learning

Join the presentation of Peter Flach, University of Bristol.