Intellectual hub of the topic
Lab
Physics & Space • Nuclear Physics
How physicists use electrons to probe the structure of atomic nuclei, and why classical formulas sometimes fail to deliver at high energies.
Researchers have proposed a new way to measure AI model uncertainty – through 'feature gaps,' which help to more accurately determine when a model shouldn't be trusted.
Lab
Physics & Space • Mathematical Physics
How an old differentiation rule from the 17th century helps physicists understand the behavior of millions of particles at once, and why this is more important than it seems.
Lab
Electrical Engineering & System Sciences
Researchers tested whether AI systems can comprehend real-world medical conversations – and the results delivered a harsh verdict for the entire industry.
Lab
Physics & Space • General Relativity
What if dark matter is not a substance, but the geometric response of the Universe to its own deformation? A new theory proposes an unexpected answer.
AI: Events
Technical context • Research
AMD researchers have demonstrated how an AI agent can iteratively optimize high-performance code without human intervention.
What if the chaotic behavior of complex systems is merely a matter of perspective? Scientists have discovered a way to 'hide' non-linearity within the very structure of the network.
Stanford researchers tested leading AI models on their ability to navigate space and found surprisingly poor results.
AI: Events
Research
Researchers at Physical Intelligence have taught robots to combine long- and short-term memory, significantly altering their approach to solving complex tasks.
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