Kevin Lieber of Vsauce2 examines how basic matchstick puzzles help solve complex graph theory problems.

Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...

Abstract: We propose a convex-concave programming approach for the labeled weighted graph matching problem. The convex-concave programming formulation is obtained by rewriting the weighted graph ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Are you being hit by intense dizziness while looking at your child's mock exam report card, aiming for a Tokyo metropolitan integrated junior high and high school, or their data interpretation answer ...

Thousands of users reported issues with Anthropic's Claude on Monday, with outage tracker DownDetector logging nearly 6,000 ...

Abstract: The job-shop scheduling problem (JSSP) is one of the best-known combinatorial optimization problems and is also an essential task in various sectors. In most real-world environments, ...

Why every eCommerce platform needs a knowledge graph: better search, smarter recommendations, and AI-powered enterprise ...

Longer-lasting hot spells and high temperatures at night are making it harder to cope, leading to thousands more deaths from ...

g2o is an open-source C++ framework for optimizing graph-based nonlinear error functions. g2o has been designed to be easily extensible to a wide range of problems ...

India's domestic airlines carried more passengers in the first five months of 2026 than a year ago, but the latest DGCA data ...

Development version: This branch contains the code for the upcoming 1.0 release. For the code of the current stable 0.9 release, check out the 0.9.x branch. The upcoming 1.0 release will be the way ...