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, ...

Wet lab research and deep machine learning identify a key driver of long-term inflammatory memory

One of the most puzzling aspects of common chronic inflammatory skin diseases such as psoriasis is how they become chronic.

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 ...