Laser powder bed fusion (LPBF) is revolutionizing metal 3D printing, but ensuring consistent quality is still a challenge. Researchers are now using AI and machine learning to monitor melt pools, ...

Artificial intelligence is reshaping additive manufacturing by enabling real-time process optimization, automated design generation, and advanced quality control. From aerospace to food production, AI ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate defect detection in railway track fasteners, a key task for smart railway ...

Abstract: A smart approach to surface defect detection utilizes machine learning algorithms and image processing techniques. The integration of discrete wavelet transform and the Otsu binary algorithm ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...

Abstract: This work proposes the use of machine learning-based techniques for enhanced testability and performance calibration of an industrial 79-GHz power amplifier (PA) designed for an automotive ...

Department of Laboratory Medicine, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Core Unit of National Clinical Research ...