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 ...

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, ...

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 ...

What: New analyses using early observations from the European Space Agency’s Euclid mission examine how galaxy mergers trigger active galactic nuclei (AGN), luminou ...

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

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Moz Pro is a robust SEO platform with scalable plans for businesses of all sizes, offering crawling, keyword research, ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Scientists from Lomonosov Moscow State University and colleagues from Carnegie Mellon University in the United States and the ...