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This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401

This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Location: CoDa W401
For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.

For 9/23 and 10/7 only, sessions are at the David Packard Electrical Engineering Building, Room 101. Each session features a different Stanford speaker; talk titles are announced by the organizers.
This talk explores the new wave of robotics driven by world foundation models. We present our family of world models and describe how they are integrated into our ecosystem to scale robot training, simulation, and generalization across diverse tasks and environments.
Akul Santhosh is a Solutions Architect at NVIDIA, working on the Robotics team. He collaborates with researchers and developers working on simulation technogies and world foundation models. Before joining NVIDIA, he earned a master’s degree in computer science from New York University with a focus on Robotics and Simulations.
Aiden Chang is a Solutions Architect at NVIDIA, focusing on enterprise applications of generative AI, robotics, and reasoning systems. He earned his M.S. in Computer Science from the University of Southern California. Outside of work, he enjoys skiing, aviation, and building robots.