Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...
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Living brain cells enable machine learning computations
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
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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 ...
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How electric vehicles could back up the power system
Electric vehicles (EVs) could do more for our environment than simply replace gasoline. Published in Joule, a new assessment ...
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 ...
The global energy landscape is transforming, and nowhere is this more evident than the electricity sector. Technological advancements, shifting economic conditions, and evolving environmental policies ...
How artificial intelligence is reducing grid friction and speeding up power delivery through smarter planning and real-time ...
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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