Every few months, a new AI tool promises to transform legal work. The demos are impressive. The capabilities are real. And ...
Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...
A study of 26,000 students found AI boosted homework scores while eroding exam performance. The AI trap responsible may be at ...
A ripple tells you something happened, but not exactly what. That is the core problem behind a hard class of equations that scientists use when they try to work backward from what they can measure to ...
The natural transform (nt), a novel global method for solving fractional high-order differential equations (FDEs), is presented in this work. This technique functions as an all-encompassing integral ...
In order to address inaccurate colors in reconstructed results, inconsistent color reconstruction for background and content, and poor local color reconstruction, a model is proposed for the color ...
Abstract: An end-to-end image dehazing method based on convolution neural network is presented to solve the problem in which Unmanned Aerial Vehicle (UAV) high-resolution remote sensing images have ...
Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the ...
Traffic state prediction can be regarded as the problem of spatial–temporal prediction, the traffic states (volumes, speeds, occupancy, etc.) are recorded at a fixed time with corresponding locations ...
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