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

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 ...

Markdown has been readable by machines since 2004. OKF adds structure and relationships. Together, they're the foundation ...

For three years the AI boom ran on capability claims and vibes. This year it runs on invoices. An inference platform most ...

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

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

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

Global Navigation Satellite System (GNSS) spoofing—the transmission of counterfeit signals that trick receivers into reporting false positions or ...

GitHub secret scanning now extends beyond org-owned repositories: Public Monitoring scans all of GitHub.com in real time, ...

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

The ordinary graphite in pencil lead is proving to be surprisingly multifaceted at the microscale. In a study published in ...

Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model family, but it’s fundamentally different from the rest of the lineup.