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 ...

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

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

How Can Organizations Achieve Stability Through NHI Lifecycle Management? How can organizations secure their digital infrastructures effectively? Managing Non-Human Identities (NHIs) presents a ...

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...

Could the Future of Privileged Access Management Lie in Non-Human Identities? Where the number of machine identities is rapidly expanding, the need for advanced management solutions becomes more ...

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built solution.

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...