Quilter works by using physics-driven reinforcement learning to explore manufacturable board layouts. Instead of placing hundreds of components and routing thousands of traces manually, engineers ...
Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer ...
Quilter's AI designed a working 843-component Linux computer in 38 hours—a task that typically takes engineers 11 weeks. Here ...
Intelligent Prediction Method for Radiation Emission of Printed Circuit Board by Using Deep Learning
Abstract: This article introduces a novel deep learning approach, utilizing a seq2seq model, to predict far-field radiation emissions (REs) in high-density, multilayer, and complex printed circuit ...
Abstract: We present an ML-driven framework for predicting circuit performance metrics, bridging the gap between schematic and layout simulations, multi-process corner analysis, and measured silicon ...
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