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Machine Learning for CAD/EDA: The Road Ahead

Andrew B. Kahng

2022IEEE Design and Test22 citationsDOI

Abstract

This keynote article sketches out a vision for the development of machine learning (ML) for computer-aided design (CAD): from today’s ML-assisted CAD (MLCAD) to tomorrow’s ML-based design automation (MLDA). –Ulf Schlichtmann, Technical University of Munich

Topics & Concepts

CADElectronic design automationAutomationComputer Aided DesignComputer scienceEngineering drawingArtificial intelligenceEngineeringEmbedded systemOperating systemMechanical engineeringManufacturing Process and OptimizationAdvanced Numerical Analysis TechniquesBIM and Construction Integration
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