The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

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 ...

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

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

A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...

India has digitized its food security architecture at an unprecedented scale over the last decade. Every stage of the value chain from procurement and storage to transportation, distribution, and ...

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

Incipient fault detection using AI classification represents a fundamental advancement in distribution system reliability engineering. By continuously analyzing waveform behavior and classifying ...

How Do Non-Human Identities Transform Cloud Security? Are your organization’s security measures keeping pace with evolving threats? The rise of Non-Human Identities (NHIs) is reshaping how we approach ...

The Importance of Managing Non-Human Identities in Cloud Security What’s the real cost of neglecting Non-Human Identities ...

Market valued at $1.68B in 2024, projected to reach $4.58B by 2033 at 13.4% CAGR, driven by chronic wound prevalence ...