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

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Explore the parallels and differences between AI architectures and the human brain's design and functionality in processing ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

AI algorithms have demonstrated a sensitivity of approximately 91% in detecting early dental caries, compared to 84% for ...

Borosilicate glass offers extreme stability; Microsoft’s accelerated aging experiments suggest the data would be stable for ...

Researchers from the University of California, Los Angeles (UCLA) have developed a chemical imaging system that combines high-performance terahertz time-domain spectroscopy with advanced deep learning ...

Smart toilets show promise for passive monitoring of stool and urine to detect potential health issues, but challenges remain ...

A flexible electronic skin inspired by shark electroreception lets robotic hands identify object shapes and materials through both non-contact electrostatic scanning and touch-based sensing.

What kind of AI architecture should power collision-risk analysis use? This was the most discussed topic at Geotab Connect 2026.