Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?
A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...
Researchers developed a terahertz imaging platform that uses deep learning to separate chemical signatures from noise. The ...
The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
Dinosaur skeletons often dominate museum halls, from the towering Tyrannosaurus rex known as Sue in Chicago to Sophie the Stegosaurus in London. These fossils shape how you picture dinosaurs.
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