The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...
What core technological capabilities and innovations differentiate your company and position you for future success in the ...
IAEA launches a new research project on data-driven prediction of structural changes in polymers induced by radiation. The IAEA is inviting research organizations to join a new project that will use ...
4don MSN
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, ...
With Time Machine, the underlying Windows servers remained on the correct real-world time to maintain security and ...
3don MSN
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.
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 ...
Minor adjustments to switching frequency, thermal management, bias power, and inductor selection improves 48V buck converter ...
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 ...
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