The landscape of machine learning engineering has evolved dramatically over the past decade, with organizations increasingly demanding scalable, production-ready solutions that deliver measurable ...

Neo4j has introduced "property sharding" which, according to one analyst, will help overcome its earlier struggles with ...

Working with AI at scale requires that you use models and their APIs like any other components in a software development ...

Introducing distributed inference systems on AMD with high efficiency, and unveiling collaborations with Tenstorrent and ...

Microsoft has been accused of abusing its market position by stifling the sale of second-hand copies of its Windows operating ...

Uber accelerates incident detection, DCAI speeds up AI training and cluster efficiency, and Nebius improves MTBF in large-scale distributed AI training-all powered by Clockwork's first-of-a-kind ...

US power management firm Eaton has partnered with Xendee Corporation, a US software company, to develop an AI-powered, fully integrated microgrid solution.

The hype surrounding micro front ends is cooling off. Monoliths can be a more suitable software architecture, especially for ...

Combined solution further automates cloud-based energy optimization and advances resilience, efficiency and operating costs for both new and existing microgrid deploymentsAt RE+ 2025, Eaton to showcas ...

Intelligent power management company Eaton announced it is collaborating with Xendee on a design and operation platform for ...

According to the International Energy Agency, adoption of AI across the buildings sector alone could save up to ...