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AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery. Experts will separate hype from reality, spotlighting where AI is already enabling genuine breakthroughs and where its limits and risks remain.
AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...
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AI coding agents now complete multi-hour coding benchmarks with roughly 50% reliability, yet a randomized trial found experienced open-source developers took about 19% longer when allowed frontier AI tools than when tools were disallowed...
Child labor remains prevalent in Ghana’s cocoa sector and is associated with adverse educational and health outcomes for children.
Child labor remains prevalent in Ghana’s cocoa sector and is associated with adverse educational and health outcomes for children.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
Centered on the essential role of scientists in this new era, the conference will explore both near-term advances and future possibilities, along with the unique challenges of applying AI in scientific work. Above all, it focuses on elevating human understanding: what people understand, not what AI understands.
This conference is ideal for scientists, engineers, and research leaders across academia, industry, and government who want a clear, interdisciplinary view of where AI is genuinely accelerating discovery, and what it means for scientific practice.
This event is currently invite-only. Registration will open to the general public in April.
Co-sponsored by Stanford HAI and Stanford Data Science.
This year's conference will feature keynotes, panel discussions, and opportunities to connect with peers. Watch this space for more details regarding agenda and speaker lineup as we approach the event date.
