AI And The Heart: Spinning Up Vasculature And Innovating Care
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @Scobleizer @AndrewYNg @drfeifei @KirkDBorne @fchollet @rowancheung @antgrasso
MACHINE LEARNING
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AI and the Heart: Spinning Up Vasculature and Innovating Care
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NeurIPS 2025 Highlights: Scalable Agents Workshop and Research
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Continuing our #NeurIPS2025 highlights — looking forward to a great conference this year. Papers exploring expert data, benchmark quality, RL environments, and evaluation design The SEA Workshop (Dec 7), bringing together researchers pushing the boundaries of scalable agent
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AI agents revolutionize database creation and management efficiency
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The way we build and interact with data systems is changing fast. The rise of AI-driven workloads is blurring the line between human and machine developers, especially in how databases are created and managed. Already, AI agents using @neondatabase create databases four times
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Gemini 3: Scaling Pre-training and Post-training Breakthroughs
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(Original tweet nitter.net/OriolVinyalsML/status/…) Oriol Vinyals (@OriolVinyalsML) The secret behind Gemini 3? Simple: Improving pre-training & post-training 🤯 Pre-training: Contra the popular belief that scaling is over—which we discussed in our NeurIPS '25 talk with @ilyasut and @quocleix—the team delivered a drastic jump. The delta between 2.5 and 3.0 is as big as we've ever seen. No walls in sight! Post-training: Still a total greenfield. There's lots of room for algorithmic progress and improvement, and 3.0 hasn't been an exception, thanks to our stellar team. Congratulations to the whole team 💙💙💙 — https://nitter.net/OriolVinyalsML/status/1990854455802343680#m
→ View original post on X — @oriolvinyalsml, 2025-11-20 18:06 UTC
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Key AI Researchers and Their Specialized Domains Reimagined
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an interesting"reload" of the above prompt where @_jasonwei is a CoT Kid, @NoamShazeer is a "sharding sorcerer" and @JeffDean is the scale up sensei. And also @m__dehghani is the Transformer wizard!!
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SAM 3 Unifies Detection and Tracking in Vision Models
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SAM 3 tackles a challenging problem in vision: unifying a model architecture for detection and tracking. Christoph, a researcher on SAM 3, shares how the team made it possible.
— AI at Meta (@AIatMeta) 20 novembre 2025
🔗 Read the SAM 3 research paper: https://t.co/6b7VkmKr9k pic.twitter.com/U5br0vGehoSAM 3 tackles a challenging problem in vision: unifying a model architecture for detection and tracking. Christoph, a researcher on SAM 3, shares how the team made it possible. Read the SAM 3 research paper: https://
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AI Study Shows Promise for Improving Sepsis Diagnosis
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Study highlights potential use of artificial intelligence to aid in sepsis diagnosis, research
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @lexfridman @sama @kaifulee @ID_AA_Carmack @karpathy @2morrowknight @ylecun -
Papers With Code SOTA Returns with Gemini 3 AI Research
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Papers With Code SOTA is back 🚀
— alphaXiv (@askalphaxiv) 20 novembre 2025
We used Gemini 3 to process millions of charts and tables across arXiv + the web to surface state-of-the-art AI research in reasoning, computer-use, OCR, and more
Track the best-performing methods and see which benchmarks are getting adopted pic.twitter.com/9yKJXL35K7Papers With Code SOTA is back We used Gemini 3 to process millions of charts and tables across arXiv + the web to surface state-of-the-art AI research in reasoning, computer-use, OCR, and more Track the best-performing methods and see which benchmarks are getting adopted
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Free open-access edition of neuroevolution book now available
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We also made a free, open-access edition of the book: http://
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The computational cost challenge of large k values in pruning
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The only caveat: 32 is still crazy large. And if you use the k=100 before pruning, that's 100x more compute!