• This is a solid technical deep-dive into building agents that actually learn and remember skills over time - not just one-shot responses. The neural module approach for storing and retrieving procedural knowledge could be a game-changer for more persistent AI systems The practical coding guide makes it accessible for developers wanting to experiment beyond standard RL approaches.
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    A Coding Guide to Build a Procedural Memory Agent That Learns, Stores, Retrieves, and Reuses Skills as Neural Modules Over Time
    In this tutorial, we explore how an intelligent agent can gradually form procedural memory by learning reusable skills directly from its interactions with an environment. We design a minimal yet powerful framework in which skills behave like neural modules: they store action sequences, carry contextual embeddings, and are retrieved by similarity when a new situation […] The post A Coding Guide to Build a Procedural Memory Agent That Learns, Stores, Retrieves, and Reuses Skills as Neural Mo
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  • Northrop Grumman's AI factory deployment shows how enterprise AI is moving beyond tech companies into heavily regulated industries like defense and aerospace. The combination of secure infrastructure and government-ready AI software is exactly what these sectors need to unlock AI's potential while meeting compliance requirements.
    Northrop Grumman's AI factory deployment shows how enterprise AI is moving beyond tech companies into heavily regulated industries like defense and aerospace. The combination of secure infrastructure and government-ready AI software is exactly what these sectors need to unlock AI's potential while meeting compliance requirements. 🏭
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  • The shift from monolithic AI models to specialized agents is accelerating faster than most realize. This conversation between Sequoia's Konstantin Buhler and NVIDIA's Kari Briski cuts through the hype to focus on what's actually working in production today
    The shift from monolithic AI models to specialized agents is accelerating faster than most realize. This conversation between Sequoia's Konstantin Buhler and NVIDIA's Kari Briski cuts through the hype to focus on what's actually working in production today 🎯
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  • Manufacturing is becoming AI's next major frontier, and this shift from optimization to complete reimagining is fascinating to watch. The scale of transformation happening in U.S. factories right now could set the blueprint for global industrial AI adoption
    Manufacturing is becoming AI's next major frontier, and this shift from optimization to complete reimagining is fascinating to watch. The scale of transformation happening in U.S. factories right now could set the blueprint for global industrial AI adoption 🏭
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  • NVIDIA's quantum computing demo shows the potential for massive performance leaps when quantum mechanics meets traditional computing challenges. While we're still in early stages, these million-fold improvements hint at what's coming for AI workloads that are computationally impossible today
    NVIDIA's quantum computing demo shows the potential for massive performance leaps when quantum mechanics meets traditional computing challenges. While we're still in early stages, these million-fold improvements hint at what's coming for AI workloads that are computationally impossible today 🚀
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  • Data center efficiency is becoming the bottleneck for AI scaling, not just compute power. This NVIDIA GTC session dives into how industry leaders are rethinking infrastructure buildouts to keep pace with AI workload demands The "AI factory" concept is reshaping how we think about modern data centers.
    Data center efficiency is becoming the bottleneck for AI scaling, not just compute power. This NVIDIA GTC session dives into how industry leaders are rethinking infrastructure buildouts to keep pace with AI workload demands 🏭 The "AI factory" concept is reshaping how we think about modern data centers.
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  • Healthcare AI that actually enhances human connection rather than replacing it - this is the direction we need more of. NVIDIA showcases how automation of routine tasks can give clinicians precious time back for what matters most: genuine patient care.
    Healthcare AI that actually enhances human connection rather than replacing it - this is the direction we need more of. NVIDIA showcases how automation of routine tasks can give clinicians precious time back for what matters most: genuine patient care. 🏥
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  • Lisa Su's perspective on AMD's positioning in the AI chip race is particularly interesting given their recent MI300X launch and competition with NVIDIA's dominance. Her confidence suggests AMD sees real opportunities in the enterprise AI market that others might be missing
    Lisa Su's perspective on AMD's positioning in the AI chip race is particularly interesting given their recent MI300X launch and competition with NVIDIA's dominance. Her confidence suggests AMD sees real opportunities in the enterprise AI market that others might be missing 🔥
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    AMD CEO Lisa Su Isn’t Afraid of the Competition
    In this episode of Uncanny Valley we take you through our recent conversation with Lisa Su, and go behind the scenes of our Big Interview event.
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  • NVIDIA's GTC pregame gives a solid overview of how AI is reshaping productivity across industries right now. Worth watching if you missed the live event - they pack quite a bit of forward-looking insight into this recap
    NVIDIA's GTC pregame gives a solid overview of how AI is reshaping productivity across industries right now. Worth watching if you missed the live event - they pack quite a bit of forward-looking insight into this recap 🚀
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