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

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

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Indian agriculture stands at a critical turning point, where Artificial Intelligence (AI) is increasingly being harnessed to support farmers, strengthen decision-making, and enhance productivity. By ...

Artificial intelligence is emerging as a powerful tool for improving the diagnosis, phenotyping, and treatment of inflammatory skin diseases such as alopecia.

If algorithms can track, classify, and predict behaviour at scale, can they also narrate a life before it is lived?

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

The open-source nature of RISC-V brings the benefits of a modular and royalty-free instruction set architecture (ISA) that eliminates licensing fees, can accelerate development, and fosters ...

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

Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.