Project Silica introduces new techniques for encoding data in borosilicate glass, as described in the journal Nature. These ...

The F-35's AI-enhanced identification capability is blending sensor fusion with machine learning to classify unknown contacts ...

Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, ...

The Adani Group on Monday unveiled one of the world’s largest integrated energy-and-compute investments, committing USD 100 billion to develop renewable-energy-powered, hyperscale AI-ready data ...

New specialized AI agents from Limbik and Glystn, enhanced model support, and platform improvements accelerate adoption ...

With CommandCORE, Arinox AI and KOGO are betting on a counterintuitive AI future — private, sovereign and physically compact.

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an issue is discovered, hundreds of bad decisions could already have been made.

As AI scales in India, data centres are evolving into high-density, low-latency platforms that unify connectivity, compute, and sustainability at a national scale.

As AI data centers scale to support increasingly complex AI workloads, traditional IT monitoring can no longer provide the visibility required for reliable operations. KAYTUS, a leading provider of ...

Countries that moved early now see the full cost of those choices. What began as a digital bet has steadily changed grids, ...

Prop Trading Firm Pairs Industry Recognition With Measured Payout Metrics and System Disclosure LONDON, LONDON, UNITED ...