Unlocking Public Sector AI Innovation: Next Steps for the National AI Research Resource
On Monday, October 30th 2023, President Biden signed a landmark Executive Order to manage the opportunities and risks of artificial intelligence.
The EO seeks to promote innovation and competition through a pilot of the National AI Research Resource (NAIRR), which can provide access to much-needed compute and datasets for academics, nonprofit researchers, and startups. Earlier this year, Congress had introduced a bi-partisan, bicameral CREATE AI Act, which also supports the establishment of this public AI infrastructure. NAIRR aims to strengthen academic AI innovation driven by societal benefits through catalyzing groundbreaking advancements reminiscent of academic triumphs such as GPS, CRISPR, and the internet.
Watch the recording below to hear Stanford faculty and researchers, Fei-Fei Li, Russ Altman, and Jennifer King, for a discussion on how academia can capitalize on the opportunities NAIRR brings featuring a keynote address by U.S. Representative Anna Eshoo, co-chair of the Congressional AI Caucus, and co-sponsor of the CREATE AI Act.
Watch Event Recording
Related Events
2026 Conference on Physics and AI (PAI26)
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.
NVIDIA & Marlowe: Scaling Data Science Workloads with RAPIDS
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!