CAiRE Webinar - Do Large Language Models Need Sensory Grounding for Meaning and Understanding?
CAiRE is pleased to invite you to attend a virtual fireside chat with CAiRE advisor and the 2018 Turing Award winner Prof. Yann LeCun of Meta AI Research/NYU, to talk about whether large language models need sensory grounding for meaning and understanding.
Yann LeCun is VP & Chief AI Scientist at Facebook and Silver Professor at NYU affiliated with the Courant Institute of Mathematical Sciences & the Center for Data Science. He was the founding Director of Facebook AI Research and of the NYU Center for Data Science. He received an Engineering Diploma from ESIEE (Paris) and a PhD from Sorbonne Université. After a postdoc in Toronto he joined AT&T Bell Labs in 1988, and AT&T Labs in 1996 as Head of Image Processing Research. He joined NYU as a professor in 2003 and Facebook in 2013. His interests include AI machine learning, computer perception, robotics and computational neuroscience. He is the recipient of the 2018 ACM Turing Award (with Geoffrey Hinton and Yoshua Bengio) for "conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing", a member of the National Academy of Engineering and a Chevalier de la Légion d’Honneur. More information about him can be found at http://yann.lecun.com.