Animesh Garg

Animesh Garg is a senior research scientist at NVIDIA, a CIFAR chair assistant professor of computer science at University of Toronto, and a faculty member at the Vector Institute. He earned a PhD from UC, Berkeley and was a postdoc at Stanford AI lab. He works on the Algorithmic Foundations for Generalizable Autonomy, to enable AI-based robots to work alongside humans. His work has been recognized with numerous research awards in robotics and machine learning.
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Posts by Animesh Garg

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NVIDIA Research: Transferring Dexterous Manipulation from GPU Simulation to a Remote, Real-World, TriFinger Task

A critical question to ask when designing a machine learning–based solution is, “What’s the resource cost of developing this solution?” There are... 12 MIN READ
Technical Walkthrough 0

NVIDIA Research: Auditing AI Models for Verified Deployment under Semantic Specifications

When you purchased your last car, did you check for safety ratings or quality assurances from the manufacturer. Perhaps, like most consumers, you simply went... 7 MIN READ