AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

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 ...

The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in the planetary atmosphere. This phenomenon is governed by the Navier-Stokes ...

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 ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...

Guinness World Records recently confirmed that Ibu Baron, a reticulated python ( Malayopython reticulatus ), is believed to ...

But, both of these would require large structural changes for a course that teaches hundreds of students a year — something that can’t really happen in the near term. What could happen now, though, is ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Learn how to convert any decimal into a fraction using Python in a simple and accurate way. This quick tutorial shows an efficient method using built-in Python tools—perfect for beginners, students, ...

Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.