And by the way most of the content was produced by amazing CIFAR students and postdocts like @ilyasut @karpathy @goodfellow_ian @sedielem @notmisha @jaschasd
, Ben Marlin, @ziyuwang
, and many more exceptional researchers that went on to build the AI of Tesla, DeepMind, OpenAI,
MACHINE LEARNING
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CIFAR Students and Postdocs Built AI at Tesla DeepMind OpenAI
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ByteDance’s small Seed1.5 model beats Claude and Gemini in vision tasks
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ByteDance takes the lead on vision models: small (~21B) Seed1.5 beats behemoths like Claude 🔥
— m_ric (@AymericRoucher) 16 mai 2025
ByteDance just released the technical report for their new model Seed 1.5, that achieves performance on vision tasks on par with the current king Gemini-2.5-Pro (leaving OpenAI o1 and… pic.twitter.com/gx631UzBm7ByteDance takes the lead on vision models: small (~21B) Seed1.5 beats behemoths like Claude ByteDance just released the technical report for their new model Seed 1.5, that achieves performance on vision tasks on par with the current king Gemini-2.5-Pro (leaving OpenAI o1 and
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Quantum Computing Hopfield Networks Energy Based Models Foundations
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And if you want a vintage lecture describing some of these ideas, their connection to physics, computation, quantum computers, Hopfield networks, maximum likelihood, stochastic optimization, score matching, energy based models etc etc please see old lectures:
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Kaggle and Hugging Face Collaboration Enables Direct Model Integration
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Awesome to see the collab between @kaggle and @huggingface. Now you can use any model from Hugging Face directly in Kaggle. Previously, we had to download and upload the models as datasets. This was much needed 🚀 pic.twitter.com/VtCVKIyS8N
— abhishek (@abhi1thakur) 16 mai 2025Awesome to see the collab between @kaggle and @huggingface
. Now you can use any model from Hugging Face directly in Kaggle. Previously, we had to download and upload the models as datasets. This was much needed -
CVPR 2025 Paper Sharing Session Beijing June 8
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Join us in Beijing on June 8 (09:00–17:30, UTC+8) for the CVPR 2025 Paper Sharing Session! Keynotes | Paper talks | Roundtables | Posters | Corporate booths Topics: Multimodality, Generation, and more. Meet top experts & authors for a full day of
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The Final Generation of AI: Intelligence Evolution’s End
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The Final Generation of AI? Charting the Culmination of Intelligence Evolution This whitepaper offers a sweeping narrative of AI’s rise—from early rule-based systems to today’s autonomous, reasoning agents—arguing we may now be witnessing the “final generation” of
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Why Deep Derivatives Knowledge Isn’t Critical for Machine Learning
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i guess it turns out that understanding derivatives deeply doesn't help you that much in ML
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From Manual Calculus to Automatic Differentiation in ML
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another funny thing about the state of ML research in 2015 was that many people spent much of their time computing derivatives by hand. no, really. this was before autodiff, and half the battle was doing basic calculus without making mistakes now you just type .backward()
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How Your Brain Learns Language: Neural Mechanisms
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how your brain learns language https://t.co/oWdRgWUoUz
— Yohei (@yoheinakajima) 16 mai 2025how your brain learns language
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Can Humans Beat AI Chess Engines Today?
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Humans smarter than chess-playing toys?
Can you beat a $30 chess-playing toy at chess?