AI-enabled smart grids use real-time predictive analytics and machine learning to match supply with demand, improving efficiency.

A new philosophical and socio-technical analysis by Katia Schwerzmann of Ruhr University Bochum argues that contemporary AI ...

It argues that the words used in AI research, marketing, and policy are not neutral descriptors but powerful tools that shape ...

NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...

OpenAI published this week five operating principles for its work toward AGI. OpenAI wants broad access, but it reserves room ...

In an era when cyberattacks evolve at machine speed, this convergence delivers far more than incremental improvements.

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

The first facility is expected to be operational in 2027, making it the first Amazon data center in Mississippi to use reclaimed water for cooling. Veolia, world leader in water t ...

Born in Rizhao, China, Qin overcame early hardships during the Cultural Revolution to pursue higher education at Tsinghua ...

By Kofi O. ASENSO In recent years, supply chains have transformed from simple logistical systems into complex, data-driven ecosystems. The disruptions caused by the global pandemic, trade tensions, ...

Artificial Intelligence (AI) is emerging as a practical enabler of the evolving power grid as wind and solar power bring ...

At Data Center World, an exclusive C-suite conversation traced how AI demand is transforming infrastructure, expectations, ...