Regardless of how far or fast AI is deployed, its success in the workplace will hinge less on the technology itself and more ...
Benchmarks — the standardized tests that rank AI models on safety, bias, and reasoning — drive markets and shape regulation.
This report assesses America's ability to develop, attract, and retain STEM talent and warns that its advantages over China are narrowing rapidly. The United States-China technology competition is ...
Simonyi Conference Center, CoDa, 389 Jane Stanford Way, Stanford, CA 94305 Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are ...
Open to Stanford community members! We are hosting an interactive orientation featuring faculty insights, networking, and opportunities to explore AI and data science research, programs, and resources ...
In this paper, HAI Associate Director and Senior Fellow Rob Reich and UC Berkeley School of Information Professor Deirdre K. Mulligan provide concrete recommendations to the California Department of ...
Anastasios N. Angelopoulos is the co-founder and CEO of Arena, the leading open platform for evaluating AI models through real-world human feedback. A scientist at heart, Anastasios has spent his ...
Leveraging complex data to infer how the universe works. The Center for Decoding the Universe advances the physics of the cosmos by developing innovative data science and AI methods to extract insight ...
An Open-Source Model is an AI model whose weights, source code, training data—or a detailed, auditable account of that data—and development tools are available for others to download, run, inspect, ...
A comprehensive overview of AI performance in 2025, spanning image, video, language, speech, reasoning, robotics, and agentic systems. 1. AI capability is outpacing the benchmarks designed to measure ...
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