Recent advancements in deep learning have transformed the field of palynology by automating the classification of pollen grains. This emerging approach leverages convolutional neural networks (CNNs) ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current technologies often face significant operational limitations. While X-ray scanners ...

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

Researchers developed a terahertz imaging platform that uses deep learning to separate chemical signatures from noise. The ...

What: New analyses using early observations from the European Space Agency’s Euclid mission examine how galaxy mergers trigger active galactic nuclei (AGN), luminou ...

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...