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TSMC expands use of NVIDIA AI technologies across chip production operations
NVIDIA (NASDAQ:NVDA) revealed that Taiwan Semiconductor Manufacturing Co. (NYSE:TSM) is deploying a range of its artificial ...
NVIDIA CUDA-X libraries and AI models are accelerating TSMC workloads across lithography, transistor and process simulation, ...
The company helps manufacturers automate inspection, counting, and quality control with AI-enabled machine vision and edge automation ...
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 ...
ABSTRACT: Regular pipeline inspections are crucial for timely identification of critical defects and ensuring pipeline integrity. To address the challenges of detecting defects in PE gas pipelines ...
To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
Defect detection requirements on the order of 10 defective parts per million (DPPM) are driving improvements in inspection tools’ resolution and throughput at foundries and OSATs. However, defects ...
Abstract: In the bearing manufacturing industry, detecting defects in bearings is essential for maintaining product quality and operational efficiency. Traditional ...
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