In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
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 Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
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 ...
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 ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Abstract: The development of efficient and real-time animal behavior monitoring systems is crucial to support precision livestock farming. This study proposes a behavior classification system for ...
AZoSensors on MSN
Low-power sensor node brings machine learning to the edge of environmental monitoring
A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
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