Global AI News Aggregator
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As debates about the use of emerging technologies in the military continue, Amy Zegart offers five considerations about where the lines between private companies and defense policy should be. ow.ly/1BXv50YAWJS [Translated from EN to English]
→ View original post on X — @stanfordhai, 2026-03-31 19:00 UTC
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Stanford computer scientist @james_y_zou is exploring how AI can accelerate scientific research and peer review. His finding: AI excels at spotting gaps, but judgment calls still need humans. hai.stanford.edu/news/ais-gr…
→ View original post on X — @stanfordhai, 2026-03-31 17:03 UTC
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What would a "theory" of machine learning tell us? Turing winner and Harvard Professor Leslie Valiant invented the widely accepted definition of supervised machine learning. Perspective, advice for new researchers and more on today’s episode! 📼YouTube: piped.video/xjwgk7jY6T8
→ View original post on X — @stanfordhai, 2026-03-30 16:52 UTC
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Great to join @drfeifei at @FIIKSA Miami today for a wide-ranging discussion on the global AI landscape. Great conversation on the American AI Export Program, world models, humanoid robots, and what it’ll take to get the new @WhiteHouse National AI Policy Framework legislated.
→ View original post on X — @stanfordhai, 2026-03-28 00:19 UTC
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At @NVIDIAGTC, @StanfordHAI's James @Landay said we're amid a major shift in human-computer interaction. Current text/voice AI is "just a blip" and he envisions a future of multimodal agents that anticipate user needs through voice, gesture, and context: nvidia.com/en-us/on-demand/s… [Translated from EN to English]
→ View original post on X — @stanfordhai, 2026-03-27 16:05 UTC
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How do we ensure AI in healthcare benefits everyone? From accelerating discovery to supporting clinicians and improving patient outcomes, explore what's real, what's next, and what's needed at the 2026 #RAISEHealth Symposium on June 2: @StanfordMed med.stanford.edu/raisehealth…
→ View original post on X — @stanfordhai, 2026-03-26 20:02 UTC
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A collaborative study backed by @StanfordHAI has traced a precise connection between extreme weather and a massive disease epidemic, providing the first quantifiable measure of climate change's role in a specific outbreak. Read more via @StanfordWoods: woods.stanford.edu/news/clim…
→ View original post on X — @stanfordhai, 2026-03-26 17:04 UTC
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AI's inability to comprehend the physical world is holding back a new age of robotics, autonomous vehicles, and other visually aware fields. A new benchmark and training framework, QuantiPhy, offers a way forward: hai.stanford.edu/news/ai-can… [Translated from EN to English]
→ View original post on X — @stanfordhai, 2026-03-25 17:04 UTC
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With support from an Amazon-backed fellowship program, @Stanford researchers are tackling some of AI's most challenging problems. @StanfordHAI talked to three fellows from the cohort to find out what they're studying: hai.stanford.edu/news/from-p… [Translated from EN to English]
→ View original post on X — @stanfordhai, 2026-03-24 22:01 UTC
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When will AI models become useful creative collaborators? Not until artists and AI share a conceptual grounding for visual content. See how @Stanford researchers are approaching this problem: hai.stanford.edu/news/stanfo… [Translated from EN to English]
→ View original post on X — @stanfordhai, 2026-03-23 20:03 UTC