Nvidia-backed ThinkLabs AI raises $28 million to tackle a growing power grid crunch

ThinkLabs AI has raised $28 million with backing from NVIDIA and energy investors to help utilities modernize power-grid ...

Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

100x Less Power: The Breakthrough That Could Solve AI’s Massive Energy Crisis

A new hybrid AI approach may drastically cut energy use while improving reliability. Artificial intelligence is not just changing software. It is also driving a sharp rise in electricity use. In the ...
EDN

Power Tips #151: Improving efficiency in 48V-input multiphase buck converters with GaN

Minor adjustments to switching frequency, thermal management, bias power, and inductor selection improves 48V buck converter ...
Scientific Research Publishing

Integrating Multi-Agent Reinforcement Learning and Evolutionary Game Theory for Adaptive Virtual Bidding Strategies in Electricity Markets ()

As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...