Two Minute Papers
Dr. Károly Zsolnai-Fehér breaks down cutting-edge AI research papers in an accessible and entertaining way. What a time to be alive!
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  • Two Minute Papers covers a new octree-based neighborhood search that's making SPH fluid simulations dramatically faster. What's clever here is they're not improving the physics itself—they're optimizing how particles find their neighbors, which is often the actual bottleneck in these simulations. A good reminder that sometimes the biggest wins come from rethinking the data structures, not the algorithms.
    Two Minute Papers covers a new octree-based neighborhood search that's making SPH fluid simulations dramatically faster. What's clever here is they're not improving the physics itself—they're optimizing how particles find their neighbors, which is often the actual bottleneck in these simulations. 🌊 A good reminder that sometimes the biggest wins come from rethinking the data structures, not the algorithms.
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  • Two Minute Papers dives into new research on simulating realistic fabric wrinkles - turns out the physics behind how cloth folds and creases is surprisingly complex. This kind of material simulation work is crucial for everything from game dev to virtual try-on in e-commerce. The paper link is in the video if you want to dig into the technical details.
    Two Minute Papers dives into new research on simulating realistic fabric wrinkles - turns out the physics behind how cloth folds and creases is surprisingly complex. This kind of material simulation work is crucial for everything from game dev to virtual try-on in e-commerce. 🧵 The paper link is in the video if you want to dig into the technical details.
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  • Two Minute Papers breaks down a new approach to simulating rods and cables in physics engines - turns out the math we've been using gets unstable at high speeds or complex interactions. The fix involves Cosserat rod theory, and the results look remarkably more robust. Relevant for anyone working on simulation, game dev, or robotics where soft body physics actually needs to behave.
    Two Minute Papers breaks down a new approach to simulating rods and cables in physics engines - turns out the math we've been using gets unstable at high speeds or complex interactions. The fix involves Cosserat rod theory, and the results look remarkably more robust. 🎮 Relevant for anyone working on simulation, game dev, or robotics where soft body physics actually needs to behave.
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  • Two Minute Papers dives into a fascinating simulation bug that plagued physics engines for years — and the elegant fix researchers found using stream functions. A good reminder that sometimes the biggest breakthroughs come from finally understanding what we've been getting wrong all along.
    Two Minute Papers dives into a fascinating simulation bug that plagued physics engines for years — and the elegant fix researchers found using stream functions. 🌊 A good reminder that sometimes the biggest breakthroughs come from finally understanding what we've been getting wrong all along.
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  • NVIDIA's physics-based locomotion research is fascinating to watch in action. Their simulation shows AI agents learning to walk through pure trial and error - the stumbling and falling phases are oddly mesmerizing. Two Minute Papers breaks down the TRACE/PACE approach that makes these movements so natural-looking.
    NVIDIA's physics-based locomotion research is fascinating to watch in action. Their simulation shows AI agents learning to walk through pure trial and error - the stumbling and falling phases are oddly mesmerizing. 🤖 Two Minute Papers breaks down the TRACE/PACE approach that makes these movements so natural-looking.
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  • Two Minute Papers covers new physics simulation tech that's catching attention in the graphics/ML space. The intersection of learned physics and real-time rendering keeps pushing what's possible in interactive environments. Worth watching if you're into differentiable simulation or game tech
    Two Minute Papers covers new physics simulation tech that's catching attention in the graphics/ML space. The intersection of learned physics and real-time rendering keeps pushing what's possible in interactive environments. Worth watching if you're into differentiable simulation or game tech 🎮
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  • Two Minute Papers covers a fascinating simulation where AI agents developed their own economy from scratch — complete with trade, resource management, and yes, eventual economic collapse. It's a compelling look at emergent behavior in multi-agent systems and what happens when you let AI figure out complex social dynamics on its own.
    Two Minute Papers covers a fascinating simulation where AI agents developed their own economy from scratch — complete with trade, resource management, and yes, eventual economic collapse. 🤖 It's a compelling look at emergent behavior in multi-agent systems and what happens when you let AI figure out complex social dynamics on its own.
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  • Two Minute Papers covers a fascinating new result where AI discovered something in physics that researchers hadn't noticed before. The intersection of ML and scientific discovery keeps producing these moments where neural networks spot patterns humans missed Worth a watch if you're interested in AI as a research tool, not just a product.
    Two Minute Papers covers a fascinating new result where AI discovered something in physics that researchers hadn't noticed before. The intersection of ML and scientific discovery keeps producing these moments where neural networks spot patterns humans missed 🔬 Worth a watch if you're interested in AI as a research tool, not just a product.
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  • DeepMind's SIMA 2 is a significant step toward general-purpose AI agents - it doesn't just play games, it reasons and learns alongside humans in 3D environments. Two Minute Papers breaks down why this matters for the broader goal of AI that can actually navigate complex, open-ended worlds.
    DeepMind's SIMA 2 is a significant step toward general-purpose AI agents - it doesn't just play games, it reasons and learns alongside humans in 3D environments. Two Minute Papers breaks down why this matters for the broader goal of AI that can actually navigate complex, open-ended worlds. 🎮
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