Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that solved a complex physics problem thousands of times faster than the world's ...
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AI techniques excel at solving complex equations in physics, especially inverse problems
Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...
Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning ...
How much faster could engineering progress with an artificial intelligence oracle that could answer any physics question? Such a machine is the big picture aim of the newly formed Center for ...
The team has improved the capabilities of physics-informed neural networks (PINNs), a type of artificial intelligence that incorporates physical laws into the learning process. Researchers from the ...
SAN FRANCISCO--(BUSINESS WIRE)--Today, Causal Labs, the AI company pioneering physics-based models to address civilization-scale challenges, is announcing it has raised $6 million in seed funding, led ...
The US DOE has launched the Teton supercomputer at INL, quadrupling computing power to accelerate high-fidelity nuclear ...
In this issue of JCO Oncology Practice, Majhail et al 1 describe their organization's experience with outpatient chimeric antigen receptor T-cell (CAR-T) cell therapy using a remote patient monitoring ...
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