NTT Research, Inc., a division of NTT, today announced that members of its Physics & Informatics (PHI) Lab, in collaboration with Cornell University and Stanford University, have demonstrated a ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

Abstract: Machine learning (ML) has emerged as a transformative tool in laser-based optics, driving advancements in both fundamental research and industrial applications. This review paper provides a ...

Abstract: Analysis of radome effects on the antenna scanning performance constitutes a critical aspect in radar line-of-sight calibration and boresight error ...

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...

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1 Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China 2 Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, ...

The emergence of using Machine Learning Techniques in software testing started in the 2000s with the rise of Model-Based Testing and early bug prediction models trained on historical defect data. It ...