Reo.Dev, the world's only intent platform purpose-built for DevTools companies, today announced a major milestone with its ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

AI models without strong business context risk costly errors, but vendor approaches to “context” vary. Enterprises must take ...

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

Generative AI services and tools that use tokens to produce results can get expensive quickly. That’s spurring IT leaders to look for new ways to reduce token use — and save money.

Schneider Electric is acquiring Cognite, a provider of Agentic AI solutions, at a hefty 18.2 revenues. Cognite is growing ...

Spread the love“`html When it comes to tackling high school math, having the right tools can make a world of difference. Graphing calculators have become an essential part of the academic toolkit, ...

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

Fascinating nervous system imaging reveals previously unseen obesity-related nerve damage in mice and humans — and some of it ...

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.

Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and sovereign AI strategies.