What’s the secret to prompting an AI to solve math problems that have left humans stumped? Tell it to believe in itself ...

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

The cycle double cover conjecture asks whether, in a graph made up of vertices and edges, it is possible to construct several ...

Google shipped two new specs weeks apart. Here's what OKF and ARD actually do, how they differ from LLMs.txt and MCP, and ...

Discover what to expect from the three new OpenAI GPT-5.6 models, delivering the latest advancements in both performance and ...

A translation is a movement of the graph either horizontally parallel to the \(x\)-axis or vertically parallel to the \(y\)-axis. The graph of \(y = f(x)\) where \(f(x) = x^2\) is the same as the ...

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

Good morning, everyone, and welcome to the second quarter earnings call for Hexatronic. I'm Rikard Froberg, Group CEO. And with me, as usual, I have Martin Aberg, Deputy CEO and Head of Data Center ...

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

Military software company Palantir was supposed to be the stock for the current geopolitical moment, but its poor performance ...

The cloud-based agentic AI platform aims to help human researchers overcome resource constraints and complex data challenges to accelerate science at scale.

This type of problem – known as a combinatorial optimization problem – lies at the heart of many challenges in science, technology, and business. A new German-Taiwanese research project involving TU ...