Mark Aitken, who worked in the sector for 16 years, said eight times out of 10 he disagreed with the integrated assessment tool ...

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 ...

QuantalX combined transcranial magnetic stimulation and EEG technology in its first-of-its-kind brain network function ...

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

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

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method 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 ...

Have you ever seen a hibiscus flower? Although its petals have a range of colors, what makes the trumpet-shaped flower more ...