The Center for Decoding the Universe teams up with @APSphysics
's Group on Data Science and @NeurIPSConf
's Machine Learning and Physical Sciences Workshop team to present the 2026 Conference on Physics and AI (PAI26). Learn more about this year's agenda: https://
datascience.stanford.edu/PAI26
@stanfordhai
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Stanford and partners announce 2026 Conference on Physics and AI
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Evo 2 predicts protein functions and generates genetic sequences
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At the AI+Science conference, @StanfordHAI Faculty Affiliate @BrianHie presented how Evo 2 predicts protein functions across all life forms and generates new genetic sequences. Learn more about how it could reshape the biological sciences in this Q&A: https://
hai.stanford.edu/news/generativ
e-ai-tool-marks-a-milestone-in-biology
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AI excels at spotting gaps in peer review, but humans need judgment
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HAI Faculty Affiliate @james_y_zou is exploring how AI can accelerate scientific research and peer review. At the AI+Science conference, he highlighted that AI excels at spotting gaps, but judgment calls still need humans. Read more about his insights: https://
hai.stanford.edu/news/ais-growi
ng-role-as-scientific-peer-reviewer
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Stanford AI+Science Panel Examines AI for Earth and Climate Challenges
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From ocean dynamics to food security, this AI+Science panel examines how AI is being used to address the biggest challenges in earth, climate, and systems sciences. Join the conversation with @DavidBLobell
, @JeanKossaifi
, and other leading scientists: https://
hai.stanford.edu/events/ai-scie
nce-accelerating-discovery
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AI+Science Conference Highlights Advances in Protein Design and Neuroscience
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What is changing in life sciences research? The AI+Science conference kicks off with a panel exploring recent advances in protein design and computational neuroscience, and the changing nature of research itself. Watch the livestream: https://
hai.stanford.edu/events/ai-scie
nce-accelerating-discovery
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Stanford’s Emma Lundberg on AI Transforming Biology and Open Science
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"AI is changing the way we do biology," said @StanfordHAI Faculty Affiliate Emma Lundberg in @Stanford
's #ResearchMatter series. She's chosen to be in academia to advance open science – making data accessible to accelerate discovery for all. Read more: https://
news.stanford.edu/stories/2026/0
5/research-matters-emma-lundberg
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AI Index 2026 Report Highlights Risks and Potential of AI
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In our April issue, we highlight the latest findings from the #AIIndex2026 report, new research examining both AI's risks and potential, an upcoming conference tackling AI's role in scientific discovery, and more. Check out our LinkedIn newsletter:
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Leading Scientists Discuss AI’s Role in Accelerating Scientific Discovery
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Leading scientists and experts from various disciplines will convene on May 5 for an interdisciplinary discussion of where AI is genuinely accelerating discovery, and what it means for the future of scientific research. Join us: https://
hai.stanford.edu/events/ai-scie
nce-accelerating-discovery
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AI Sovereignty: Strategic Implications for Countries and Businesses
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The concept of AI sovereignty is gaining traction not just among countries, but also businesses. @StanfordHAI Research Fellow @juannicopava offer some insights on the topic via @ITBrew
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American AI Skepticism Impacts Trust Adoption Policy
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The #AIIndex2026 shows Americans are skeptical of AI compared to global peers. This sentiment gap impacts trust, adoption, and policy. In this piece, @StanfordHAI Executive Director @russellwald and AI Index Lead Sha Sajadieh argue two competing caricatures drowning out nuanced