Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
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 ...
The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...
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 ...
AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...
Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...
A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...
Scientists built a light powered AI prototype that matches chip accuracy while using less energy and producing less heat.
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
What: New analyses using early observations from the European Space Agency’s Euclid mission examine how galaxy mergers ...
High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
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