Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...

AI systems fail because of a context gap—when decisions rely on incomplete, inconsistent and outdated data across systems.

The draft blog post describes a compute‑intensive LLM with advanced reasoning that Anthropic plans to roll out cautiously, ...

Imagine a busy train station. Cameras monitor everything, from how clean the platforms are to whether a docking bay is empty or occupied. These cameras feed into an AI system that helps manage station ...

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...

The startup has developed a platform that aims to help robotics and autonomous vehicle developers search through the massive ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

For those who recall the debate surrounding Microsoft Recall not long ago, Claude Code's capture of activity is similar.