Since launch, the platform has served thousands of professional investors and received widespread acclaim. HONG KONG, ...

The new Law on Artificial Intelligence governs the activities of researching, developing, providing, deploying and using AI systems while explicitly excludes the same when being utilised for the sole ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

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 ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

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

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

Abstract: E-health sensors and wearables play an important role in the detection and classification of many chronic diseases. A chronic disease requires active monitoring and its severity increases ...

Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly outnumber patient samples. Traditional feature ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

1 School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China 2 Henan Center for Drug Evaluation and Inspection, Zhengzhou, Henan, China This study ...

Abstract: As online news grows exponentially, hotspot classification is becoming increasingly important. Although traditional machine learning-based text classification methods, such as plain Bayes, ...