OpenAI’s unreleased model solved five of 10 unpublished research-level math problems and proposed a breakthrough physics formula, signaling a new era for AI in science.

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

AxiomProver solved a real open math conjecture using formal verification, signaling a shift from AI that assists research to AI that discovers new truths.

The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, and workflow without added complexity. The libraries support modern Python use cases, ...

Abstract: Improving resolution and signal-to-noise ratio (SNR) are common goals in seismic data processing, but the two are generally in mutual opposition. A more realistic key objective is to attain ...

Abstract: With the rapid development of technology, computer technology plays an increasingly vital role across various fields, including education. Python, a high-level programming language, has a ...

If you wave your hand in front of your face, you won’t notice anything particularly interesting. Perhaps a gentle waft of air against your cheek – that’s about it. No epiphany. No major sign that ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

ABSTRACT: We establish quantum circuit complexity as a fundamental physical observable and prove that it satisfies an uncertainty relation with energy, analogous to Heisenberg’s canonical uncertainty ...