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SUMMARY:2024 Ding Shum Lecture: Yann LeCun: Objective-Driven AI: Towards AI systems that can learn\, remember\, reason\, and plan
DESCRIPTION:LECTURE SLIDES (pdf) \nOn March 28\, 2024\, the CMSA will host the fifth annual Ding Shum Lecture\, given by Yann LeCun. \nTime: 4:30–5:30 pm ET \nSpeaker: Yann Lecun\, New York University & META \nLocation: Harvard Science Center  Hall A & via Zoom Webinar \nTitle: Objective-Driven AI: Towards AI systems that can learn\, remember\, reason\, and plan \n\n\nAbstract:  \nHow could machines learn as efficiently as humans and animals? \nHow could machines learn how the world works and acquire common sense? \nHow could machines learn to reason and plan? \nCurrent AI architectures\, such as Auto-Regressive Large Language Models fall short. I will propose a modular cognitive architecture that may constitute a path towards answering these questions. The centerpiece of the architecture is a predictive world model that allows the system to predict the consequences of its actions and to plan a sequence of actions that optimize a set of objectives. The objectives include guardrails that guarantee the system’s controllability and safety. The world model employs a Hierarchical Joint Embedding Predictive Architecture (H-JEPA) trained with self-supervised learning. The JEPA learns abstract representations of the percepts that are simultaneously maximally informative and maximally predictable. The corresponding working paper is available here: https://openreview.net/forum?id=BZ5a1r-kVsf \n\n\n\n\n\n\n\n\n\n\nThis event is made possible by the generous funding of Ding Lei and Harry Shum. \n 
URL:https://cmsa.fas.harvard.edu/event/2024_dingshum/
LOCATION:Harvard Science Center\, 1 Oxford Street\, Cambridge\, MA\, 02138
CATEGORIES:Ding Shum Lecture,Event,Public Lecture,Special Lectures
ATTACH;FMTTYPE=image/jpeg:https://cmsa.fas.harvard.edu/media/Ding-Shum-2024_8.5x11.jpg
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