Mathematicians from the California Institute of Technology have solved an old problem related to a mathematical process called a random walk.
OpenAI’s unreleased model solved five of 10 unpublished research-level math problems and proposed a breakthrough physics formula, signaling a new era for AI in science.
Dot Physics on MSN
Visualizing pool ball collisions in Python with spring mechanics
Learn how to simulate and visualize pool ball collisions using Python and spring mechanics! This video walks you through the physics behind elastic collisions, momentum transfer, and how springs can ...
In at least two cases, the AI tool was “able to construct an original and valid proof” to unsolved conjectures.
LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
Dot Physics on MSN
Learn to calculate area under curves numerically with Python
Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...
Frustrated by the AI industry’s claims of proving math results without offering transparency, a team of leading academics has ...
AxiomProver solved a real open math conjecture using formal verification, signaling a shift from AI that assists research to AI that discovers new truths.
Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...
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