Artificial intelligence

Many utilities see AI as an all-or-nothing solution. But the leading adopters take a more calculated approach.

In the pursuit of commercializing fusion, AI can both speed scientific discovery and enhance enabling technologies, research has found.

The utility is in the process of rolling out a tool designed for document search and retrieval at nuclear plants.

A roundup of third quarter earnings reports shows increasing infrastructure spending and short capacity.

Efficient Computer believes hyper-specialization of GPUs has missed a critical opportunity for distributed intelligence – until now.

AES is bringing together solar, storage, and machine learning to power Amazon data centers in CAISO. But delays have been tough.

A new McKinsey analysis places the region’s data center electricity demand behind the U.S., but growing rapidly.

Despite a tempered quarter for battery deployments, Musk predicts multiple terawatt-hours of storage per year are in Tesla’s future.

Crusoe’s Chase Lochmiller gives his take on the AI-energy nexus.

Urs Hölzle thinks the worst-case scenarios are not based in reality.

As AI drives unprecedented demand for data centers, new approaches to power are needed to ensure momentum is not hindered.

The world’s largest DAC project lost a bid for clean energy to data centers. It was a wakeup call for the rest of the industry.

The startup Aionics is training models to pinpoint molecules that could improve battery performance.

Sharper Shape’s software for damage detection is the latest addition to a growing collection of AI-powered tools for grid support.

How would it work? AES’ own virtualization and automation efforts offer some clues.