Goto

Collaborating Authors

 gtc 2021


Why NVIDIA GTC 2021 Is a Must-Attend AI Conference

#artificialintelligence

More than a quarter of a million developers, researchers, innovators, and creators are gearing up for the long-awaited #1 AI conference – NVIDIA GTC which is kick-starting on November 8, 2021. The four-day virtual event will highlight some of the latest advancements in AI, deep learning, data science, high-performance computing (HPC), robotics, data science, networking, graphics and more. The Keynote by Jensen Huang, NVIDIA Founder, President and CEO, named as one of the world's most influential people of 2021, is expected to inspire and showcase the latest developments in AI, new solutions and latest products that will help solve the world's toughest challenges. Don't miss this Keynote, which will be live on November 9, at 1:30 PM IST GTC will provide a great opportunity for developers to learn the advancements in the latest technologies from the world's top innovators, scientists, and researchers. In addition, startups, academia, and the largest enterprises will all come together at GTC, giving participants a unique opportunity to share ideas and collaborate on creating the future.


GTC 2021: #1 AI Conference

#artificialintelligence

NVIDIA GTC is more than a must-attend AI conference for developers. It's a global experience that brings together thousands of innovators, researchers, thought leaders, and decision-makers who are shaping our world with the power of AI, computer graphics, data science, and more. Don't miss what's coming next.


GTC 2021: #1 AI Conference

#artificialintelligence

Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Dara Science, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer Engineering Department. He received the Electrical Engineer Diploma from Ecole Superieure d'Ingenieurs en Electrotechnique et Electronique (ESIEE), Paris in 1983, and a PhD in Computer Science from Universite Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories in Holmdel, NJ in 1988. He became head of the Image Processing Research Department at AT&T Labs-Research in 1996, and joined NYU as a professor in 2003, after a brief period as a Fellow of the NEC Research Institute in Princeton. From 2012 to 2014 he directed NYU's initiative in data science and became the founding director of the NYU Center for Data Science.