AWS S3 Annotations allow up to 1 GB of structured metadata per object. This simplifies data management and AI workflows.

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships automatically, with no manual re-curation needed.

With long-term memory, robots can know where objects are. MIT has developed an approach for such a memory framework.

Today, frontier AI labs such as OpenAI and Anthropic are among its biggest and most strategically important customers. These companies need vast amounts of data to train foundation models. But that is ...

Watson is a decorated active-duty service member, according to an Air Force spokesperson.

Cursor launched a public beta for iPhone and iPad that lets paid subscribers run, monitor, and review AI coding agents on ...

The danger of a single story is that it monopolizes our imagination, crowding out alternatives before they can prove their ...

A robot on a factory floor can carry parts, scan shelves, and move around people with growing skill. What it still struggles ...

As smartphones become the primary gateway to work, travel, creativity, and everyday decision-making, users increasingly ...

Most litigation teams recognise the "search tax": the hidden time, cost, and cognitive burden of locating specific evidence - ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...