A new hybrid AI model improves lung cancer detection on CT scans, achieving over 96% accuracy for early tumour identification ...

Researchers have developed a cutting-edge technique that uses RNA “barcodes” to map how neurons connect, capturing thousands ...

Researchers at Tohoku University and Future University Hakodate have trained cultured rat cortical neurons to perform ...

Physicists at Loughborough University have built a brain-inspired chip they say could slash the energy cost of certain AI ...

A new meta-analysis of prospective studies finds artificial intelligence performs similarly to dermatologists in melanoma ...

The First Innsbruck Modelling Week in Applied Mathematics is organized by the Department of Mathematics and the Unit of Engineering Mathematics, University of Innsbruck. It takes place at the ...

Artificial intelligence has been a prime concern for cybersecurity for years, but it took on a new urgency at this week’s ...

By designing a hybrid system with variable-sized neurons, the key problems in the manufacturing process of ODNNs were ...

The program will update the register of asbestos-cement rooftops on public and private properties throughout Italy through an ongoing, phased workflow that is refined as new imagery is acquired and ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of MRI images through deep learning is important for early treatment and ...

Thermal noise in magnetic tunnel junctions, usually suppressed, now serves as a tunable source of randomness for Bayesian neural networks with dramatic efficiency gains over silicon.

The proposed deep learning model can accurately predict drug-drug interactions for even new, unseen drugs, representing a new paradigm JEONBUK-DO, South Korea, March 11, 2026 /PRNewswire/ -- Managing ...