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.

Simplify complex physics calculations and accelerate your problem-solving process with a powerful Python calculator. In this video, you’ll learn how Python can streamline your physics workflow by ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

Urschel involved the crowd in his explanation of linear systems. He used an example problem of finding the ages of two ...

Overview AI hiring in India is rising as companies shift from testing AI to daily use.Skills like Python, Generative AI, and MLOps now matter more than pure the ...

Learn how to numerically simulate LR and LRC circuits in Python by solving the circuit differential equations step by step. Explore current and voltage vs. time, compare numerical results to analytic ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

The parabolic equation (PE) serves as a fundamental methodology for modeling underwater acoustic propagation. The computational efficiency of this approach derives from the far-field approximation of ...

Abstract: Riccati matrix equation (RME), a critical nonlinear matrix equation in autonomous driving and deep learning. However, memory-compute separation in traditional solving systems leads to ...