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

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

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

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

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

Explore India Inc's capital investment landscape as traditional sectors adapt and new-age investments drive future growth ...

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.

The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.

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

People use their bodies—not just their brains—to think. So the MIT Project on Embodied Education brings movement to the ...

Why the Fortune 500 Companies Winning the AI Race Specialized Before They Scaled Eight in ten CEOs now say their role is at ...

said today it’s rolling out a new dedicated organization to bring agentic artificial intelligence systems, built on the same ...