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 ...

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

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

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

Every few months, a new AI tool promises to transform legal work. The demos are impressive. The capabilities are real. And ...

The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...

Abstract: Bipartite spectral graph partitioning (BSGP) method as a co-clustering method, has been widely used in document clustering, which simultaneously clusters documents and words by making full ...

ChatGPT's breakthrough is not what it seems.

Despite having tiny brains, bumblebees have demonstrated a remarkable ability to socially learn how to use tools, solve simple puzzles, and cooperate to achieve a goal. It seems they can also solve ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

It started almost by accident. At my startup Dwelly, I constantly push the limits of what AI tools can actually do. One day I just typed into a chat: “Can you prove P ≠ NP?”—referring to the problem ...