Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
A research team from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences, along with collaborators from the Institute National de la Recherche Scientifique ...
Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a deep learning algorithm that ...
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How facial recognition is helping ecologists monitor and conserve bear species
These tools can reshape how scientists and the general public understand animals by getting to know formerly anonymous creatures as individuals.
Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, ...
A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.
NEC’s facial recognition, marketed under names like NeoFace and NeoFace Reveal, represents some of the most advanced ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Abstract: Deep learning applied to electromyography (EMG) signals enables accurate hand gesture recognition, revolutionizing diverse applications such as human-machine interaction, neural interfaces, ...
This is an experimental project. Never consume wild mushrooms based on this application's predictions. Always consult expert mycologists for mushroom identification. Find a mushroom, take a photo and ...
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