Computer Sciences
Researchers at Kobe University and Osaka University have successfully developed artificial intelligence technology that can extract hidden equations of motion from regular observational data and create a model that is faithful ...
Dec 9, 2021
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Computer Sciences
Whether a transformer catches fire in a power grid, a species disappears from an ecosystem, or water floods a city street, many systems can absorb a certain amount of disruption. But how badly does a single failure weaken ...
Jan 11, 2022
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Robotics
Small motions between individual parts in jigsaw puzzles, LEGO buildings, human backbones and systems of connectable modular robots can allow flexing of their entire structures. A team of researchers at Dartmouth College ...
Machine learning & AI
Deep learning modeling that incorporates physical knowledge is currently a hot topic, and a number of excellent techniques have emerged. The most well-known one is the physics-informed neural networks (PINNs).
Feb 23, 2024
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Computer Sciences
American nuclear power plants generate more than 20% of the electricity, and half of the carbon-free electricity, in the United States. The nation's pressing demand for even more electricity—specifically carbon-free electricity ...
Jan 26, 2024
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Hi Tech & Innovation
Predicting extreme events is essential to the preparation and protection of vulnerable regions, especially at a time of climate change. The city of Santos on the coast of São Paulo state (Brazil) is Latin America's largest ...
Jun 21, 2024
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Computer Sciences
In a recent article published in the National Science Review, researchers have proposed a new operator learning framework called PIANO. PIANO uses self-supervised learning to extract representations containing physical invariants ...
Mar 14, 2024
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1
Computer Sciences
Much to the chagrin of summer party planners, weather is a notoriously chaotic system. Small changes in precipitation, temperature, humidity, wind speed or direction, etc. can balloon into an entirely new set of conditions ...
Aug 3, 2018
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Engineering
An EPFL engineer has developed a forecasting model that factors in not just our commuting habits, but also our activities during the day. Her flexible approach incorporates the idea of trade-offs in order to deliver more ...
Apr 10, 2024
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