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

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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 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 ...

Read more about Privacy-by-design AI targets mind wandering and disengagement in digital classrooms on Devdiscourse ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

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

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 ...

Scientists built a light powered AI prototype that matches chip accuracy while using less energy and producing less heat.