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The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced computational methods.

The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced computational methods.
This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!

This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!
We will provide an update on HAI's progress since the spring and preview upcoming activities and opportunities to get involved. HAI Associate Director James Landay will share highlights from HAI grant programs as well as details on upcoming opportunities, including the Hoffman-Yee program providing grants of up to $2.5m over three years, and tips for submitting a successful proposal. In addition, Percy Liang, Associate Professor of Computer Science and Faculty Director of HAI's new Center for Research on Foundation Models (CRFM) will provide an overview of the center’s efforts and opportunities to get involved. There will also be an opportunity for faculty to ask questions and give feedback.
The Town Hall is open to all members of the Stanford Faculty.