New research from arXiv proposes formal definitions to help AI understand the 'why' behind events in systems with both discrete and continuous change.
AI's grasp of cause and effect is getting a major upgrade. A new paper introduces a framework for causal reasoning in hybrid domains, blending discrete and continuous actions.
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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 new overview from NVIDIA and Hugging Face details how advanced simulation is poised to cut physical AI training time by up to 90%, overcoming the immense cost of real-world robotics development. This new paradigm uses digital twins to accelerate breakthroughs in embodied AI.
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.
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