Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...

Read more about Quantum machine learning shows promise for adaptive learning, but classrooms are not ready on Devdiscourse ...

For years, robotic laser-arc hybrid welding in narrow gaps has been a bottleneck for high-efficiency fabrication, limited by the difficulty of maintaining stability in tight tolerances. However, ...

Linear algebra isn’t just math—it’s the secret language of AI, machine learning, and data science. From representing data as matrices to optimizing neural networks, it’s everywhere. Understanding it ...

In modern medical systems, drug therapy remains one of the most essential approaches for disease prevention and treatment. In particular, combination ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Abstract: This research develops a machine vision algorithm integrating deep learning feature extraction (ResNet-based), edge computing optimization (TensorRT), and fast reconstruction (ICP) to ...

To evaluate and compare the predictive performance of machine learning methods using clinical-semantic, radiomic, and combined features in distinguishing squamous cell carcinoma (SCC) from ...