Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for ...

Meta's new hyperagent framework breaks the AI "maintenance wall," allowing systems to autonomously rewrite their own logic ...

Back in 2019, AI attracted attention for producing quirky, weird content. By 2022, it was producing occasionally passable ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

When Zaharia started work on Spark around 2010, analyzing "big data" generally meant using MapReduce, the Java-based ...

The real gap in enterprise AI isn’t who has access to models. It’s who has learned how to build retrieval, evaluation, memory ...

Overview: Agentic AI systems are rapidly becoming the foundation of modern automation, enabling software to plan tasks, make decisions, and interact with tools ...

Researchers in Japan have trained rat neurons to perform real-time machine learning tasks, moving computing into biological territory. The system uses cultured neurons connected to hardware to ...

Researcher honoured for long-standing and wide-ranging commitment to communicating AI / Award ceremony to take place on 29 June in Bonn ...

The deal aims to accelerate AI adoption, train workers, and develop cybersecurity partnerships — the latest move by a ...

Wasm, PGlite, OPFS, and other new tech bring robust data storage to the browser, Electrobun brings Bun to desktop apps, ...