Learn a clear, step-by-step approach to solving coding problems—from understanding the prompt and planning an algorithm to ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

This project is a tool to process mathematical captcha images and calculate the answer using deep learning models and image processing using Python language. An example of captchas used in this ...

MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

With the CBSE Class 12 Math exam on March 9, 2026, approaching, students are urged to focus on conceptual clarity and smart revision. Teachers emphasize mastering calculus, core algebra, vectors, and ...

Abstract: Contribution: A problem-solving approach (PSA) model derived from major computational thinking (CT) concepts. This model can be utilized to formulate solutions for different algorithmic ...

As we say goodbye to 2025, let’s delight in its numerical charms one final time. The year was unique this century as being a square number. 44 2 = 1936 45 2 = 2025 46 2 = 2116 And since 45 = 20 + 25, ...

Earlier today I set you the following set of numerical challenges to celebrate the arrival of 2026. Auld lang signs Here is an expression equal to 26 that uses six 1s: (1+1)×(1+1+11) Find expressions ...

For many students, mathematics feels less like a subject and more like a verdict, you’re either “good at it” or you’re not. There’s no escape from maths in school, and for some, every class brings a ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In October 2024, news broke that Facebook parent company Meta had cracked an "impossible" problem ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...