Researchers developed a novel method combining hydrogel-coated microfluidic devices with high-density microelectrode arrays ...
Introduction - The year 2024 marked a pivotal time in artificial intelligence, where aspirations transformed into concrete ...
By refining an artificial intelligence approach to predicting earthquakes in the laboratory, or labquakes, engineers at Penn State are paving the way to one day help forecast natural earthquakes.
Many science fiction authors try to incorporate scientific principles into their work, but Ian Tregillis, who is a contributing author of the Wild Cards book series when he's not working as a ...
“Our results reaffirm the promise of ferroelectric domain walls for brain-inspired neuromorphic and in-memory computing applications based on integrated ferroelectric devices.” Subscribe to Technology ...
Abstract: This paper focus on the application of Physics Informed Neural Network (PINN) for extracting parameters of photovoltaic (PV), wind, and energy storage equipment models. Accurately extracting ...
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New training technique opens the door to neural networks that require much less energyAI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our ...
Abstract: Physics-informed neural networks (PINNs) have significant potential for modeling and parameter design in engineering field. While most existing PINNs research focuses on fluid mechanics and ...
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