Researchers extend spectral convolution to complex geometric spaces, opening doors for AI in crystallography, robotics, and beyond.
A new paper expands Geometric Deep Learning to orbifolds—complex spaces with unique 'folded' symmetries. This breakthrough enables AI to analyze complex structured data.
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Fields Medalist Terence Tao shared a log showing how he uses ChatGPT to research the unsolved Jacobian Conjecture. See how LLMs are becoming powerful assistants for elite scientists. Is this the future of scientific discovery?
A startling report claims OpenAI's unreleased GPT-5.6 model solved a 30-year-old problem in convex optimization using just one prompt. This breakthrough could unlock major efficiencies in fields from finance to logistics. What does this mean for AI in scientific research?
OpenAI's latest analysis reveals major flaws in the popular SWE-Bench Pro coding benchmark, suggesting nearly 40% of model failures are due to test errors, not AI inability. This finding challenges how we measure AI coding progress.
NVIDIA and Hugging Face have released a massive new dataset with 1.5 million examples to train autonomous AI agents. Can open-source models now compete with proprietary systems?
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