Read more about Textile industry embraces AI for defect detection amid data and cost challenges on Devdiscourse ...

Detecting macro-defects on wafers and tracing them to their root cause is getting easier due to tool improvements and ...

RHAAPsody, a machine learning system from PNNL, identifies subtle changes in thin film growth faster than human experts, ...

Dr. Kotecha has redefined engineering education by integrating emerging technologies, global collaborations, and experiential ...

Artificial intelligence has long been tethered to high-performance data centers and cloud computing, reliant on the massive infrastructure needed to train and run deep learning models. But as AI ...

More and better screening of diced dies is essential to meet the quality and cost goals of the 2.5D/3D-IC era.

The construction industry has always faced challenges like delays, cost overruns, and resource management issues. Civil Engineers in Henderson are now leveraging Machine Learning in Construction to ...

Case in point: New York Power Authority (NYPA) has incorporated artificial Intelligence (AI)-driven computer vision technology into its maintenance program for detection of equipment defects and ...