Abstract: In this study, a convolutional neural network (CNN)-based automatic detection algorithm for bridge crack images was proposed, aiming to improve the accuracy and efficiency of bridge ...
Researchers at Universidad Carlos III de Madrid (UC3M) have developed a set of innovative methods and algorithms that improve ...
Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...
The integration of artificial intelligence (AI), particularly computer vision, into energy systems is revolutionizing power optimization, enabling efficient ...
Expectation optimizes perception through center-surround inhibition, enhancing expected representations while suppressing similar, irrelevant ones.
In a study published in Advanced Photonics, researchers at SPIE introduced a method to enhance photonic circuit adaptability ...
In the development of modern animal husbandry, the feed industry serves as a crucial material foundation, and extrusion puffing technology has become ...
WiMi innovatively combines the robust feature extraction capabilities of QCNN with the dual-discriminator architecture to construct a hybrid quantum-classical generative adversarial framework. The ...
Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...
Researchers developed 3D flash memory chips that help self-driving vehicles plan optimal routes, using 74% less energy.
The study reveals a rapidly evolving field where AI plays a pivotal role in accelerating design, enabling predictive maintenance, optimizing control systems, and powering intelligent digital replicas ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...
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