AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...

A de facto “data tariff” regime is already emerging. It does not resemble customs duties levied at a port. Instead, it takes shape through regulatory tolls that determine who may transfer, process, or ...

The data center as we know it is being reimagined as an “AI factory” – a power- and data-optimized plant that turns energy ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Coarse-grained (CG) models provide an effective route to reduce the complexity of ...

Abstract: Passivity-based control (PBC) is a powerful control strategy, excelling in stability through its energy-based framework. It is regarded as an effective method for enhancing the dependability ...

Abstract: Asynchronous circuits with low power and robustness are revived in emerging applications such as the Internet of Things (IoT) and neuromorphic chips, thanks to clock-less and event-driven ...

TL;DR: Intel's new Crescent Island GPU, launching in 2026, features the advanced Xe3P architecture and up to 160GB LPDDR5X memory, optimized for power-efficient AI inference workloads in air-cooled ...

If companies are looking to scale advanced analytics and AI across complex, multi-system environments, they can leverage a data fabric architecture to create an AI‑ready data foundation, according to ...

The artificial intelligence moment has a new focal point, and it isn’t a model — it’s the mess of files, logs and transactions where work actually happens. The winners may very well be those who ...

TOKYO, Oct. 13, 2025 ― Renesas Electronics Corporation (TSE:6723), a supplier of semiconductor solutions, announced that it is supporting efficient power conversion and distribution for the 800 Volt ...