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SUMMARY:Generalizable Embodied Foundation Model - Nanyang Ye\, Shanghai Ji
 ao Tong University
DTSTART:20250130T140000Z
DTEND:20250130T150000Z
UID:TALK226534@talks.cam.ac.uk
CONTACT:Rafal Mantiuk
DESCRIPTION:In this talk\, we will start from the fundamental question of 
 what is\, how to measure\, how to improve the generalization ability of de
 ep neural networks\, especially on the out-of-distribution generalization 
 ability\, where the test data distribution differs from the training data 
 distribution. Then\, we will demonstrate how to leverage the lessons from 
 theoretical and algorithmic research for important applications\, such as 
 high dynamic range imaging\, autonomous driving\, control\, and embodied a
 rtificial intelligence.\n\nZoom link: https://cam-ac-uk.zoom.us/j/83872164
 360?pwd=k1tXJAfe9hisCybo108WWKar8gP5Ly.1
LOCATION:SS03 - William Gates Building
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