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 ...

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

Innovations addressing some of the world’s most pressing challenges took centre stage at the Innovator Meet Tech Exhibition ...

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

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Veritas.AI is designed to advance the functionality of Spectrum Dynamics’ VERITON-CT scanner for nuclear imaging.

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...