Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...

Last year, German network operators received 9,710 connection requests for battery storage systems planned for commissioning at the medium-voltage level. These requests correspond to a total of 400 GW ...

Spain’s transmission system operator REE has alerted regulators to sudden voltage fluctuations in the mainland grid, citing abrupt schedule changes in renewable generation and the response time of ...

Ausgrid, the state-owned electricity distribution giant that delivers power to 1.8 million customers across Sydney and beyond, has proposed a “Community Power Network” (CPN) that could shatter a ...

From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

Abstract: This paper proposes the application of explanation methods to enhance the interpretability of graph neural network (GNN) models in fault location for power grids. GNN models have exhibited ...

MEMPHIS, Tenn. — Memphis Light, Gas and Water Division (MLGW) has taken a major step forward in modernizing its utility infrastructure, announcing the selection of Nokia to deploy a full-scale private ...

At least 70 people have died and many children are missing in the Texas Hill Country after catastrophic flooding that left officials struggling to explain whether they did enough to warn people of the ...