Neuromorphic computing enables more efficient AI processing at the edge with lower power consumption, while generative models develop response strategies for unprecedented grid conditions.

Itron's Nick Tumilowicz asserts a need for an integrated approach to grid management that processes and acts on real-time data at the edge.

For more than a decade, the demand for power across the US has been nearly stagnant, growing by less than 1% per year. Then came the data center revolution. The world's largest tech companies are ...

Agonafer mentioned the $500 billion Stargate data center under development in Abilene — which will be one of the largest AI ...

Energy instability, talent gaps and high costs challenge tech adoption, but opportunities remain. #NewsismyBusiness ...

NEXCOM DFA 1163 Series delivers Multi-WAN routing and NTN-ready connectivity — keeping workloads running anywhere. From ...

Alphabet Inc's Google unit is partnering with the largest electrical grid operator in North America, PJM Interconnection, to roll out artificial intelligence technologies aimed at getting new ...

The UK AI sector is temporarily turning to fossil fuels while trying to secure sufficient and stable power to run the data ...

In 2025, some 80 gigawatts (gw) of new grid-scale energy storage will be added globally, an eight-fold increase from 2021. Grid-scale energy storage is on the rise thanks to four potent forces.

The acquisition of Mobile Computing expands Grid Dynamics’ global footprint and significantly enhances our follow-the-sun delivery model.