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'Proof by intimidation': AI is confidently solving 'impossible' math problems. But can it convince the world's top mathematicians?
AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we ...
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It's elementary: Problem-solving AI approach tackles inverse problems used in nuclear physics and beyond
Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, nuclear physicists at the U.S. Department of Energy's Thomas Jefferson ...
One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
Dot Physics on MSN
Physics Behind the Ball Up/Down Problem Feynman Exercises
Explore the Ball Up/Down Problem from the Feynman Lectures in this clear and engaging physics lesson! This video explains the underlying principles of motion, forces, and energy transfer step by step, ...
John Hopfield, one of this year’s winners of the Nobel Prize in Physics, is a true polymath. His career started with probing the physics of solid states during the field’s heyday in the 1950s before ...
OpenAI’s unreleased model solved five of 10 unpublished research-level math problems and proposed a breakthrough physics formula, signaling a new era for AI in science.
Strongly interacting systems play an important role in quantum physics and quantum chemistry. Stochastic methods such as Monte Carlo simulations are a proven method for investigating such systems.
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