The machine learning tool is helping physicists with the daunting challenge of analyzing large but nearly empty data sets, like those from neutrino detectors or particle colliders.

Instead of having to start over with every river basin, AI can generalize information using past readings. "Rather than ...

Using these scanners, neuroscientists can create unique “neural fingerprints” of an individual’s brain. Researchers contrast the difference between traditional brain scanners and OPM-MEG devices as ...

Scientific AI's 'black box' is no match for 200-year-old method Fourier transformations reveal how deep neural network learns complex physics Date: February 13, 2023 Source: Rice University ...

Princeton University professor John Hopfield has been awarded the 2024 Nobel Prize in physics “for foundational discoveries and inventions that enable machine learning with artificial neural networks.

A research team led by the Institute of Atmospheric Physics at the Chinese Academy of Sciences has made strides in improving precipitation forecasting by coupling physical variables through graph ...

The papers include generative AI models that turn text into personalized images; inverse rendering tools that transform still images into 3D objects; neural physics models that use AI to simulate ...

Cornell University researchers have developed a low-power microchip they call a “microwave brain,” the first processor to compute on both ultrafast data signals and wireless communication signals by ...

Neural networks can estimate the degree of entanglement in quantum systems far more efficiently than traditional techniques, a new study shows. By side-stepping the need to fully characterize quantum ...