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

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

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

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

Windows 11’s new Start menu is rolling out and the community reaction is not great.

For readers who may just be hearing about HeartBeam, explain to us what clinical problem you are trying to solve and why hasn’t that been able to be solved with existing cardiac monitoring tools? Mr.

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