Raj Ummadisetty and Ken Kurzweil share Netflix's architectural pivot to CloudStream, a repeatable capture, conversion, and ...

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

shows the logo of Microsoft displayed on the facade of the company France headquarters in Issy-les-Moulineaux, on the outskirts of Paris, on April 24, 2026. Martin LELIEVRE/Getty Images Microsoft ...

Enterprise teams increasingly rely on AI systems for analytics, but enterprise data workflows are often fragmented across storage systems and tools. Before analysis can begin, teams often need to ...

Unveiled on Tuesday, the 13 Pro is meant to appeal to power users, including software developers. It's Framework’s first Ubuntu-certified laptop, meaning it’s undergone extensive validation to ensure ...

Upgradable laptop maker Framework made waves in 2021 with its first laptop, a 13-inch model. Now the San Francisco company is adding a “Pro” model in the same size that packs some cutting-edge specs, ...

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).

AI adoption has accelerated at a pace few technology shifts can match. In just a short time, AI model capability has improved sharply, costs have come down and entirely new product experiences have ...

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Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...