Machine-Learning Circuits and Systems (MLCAS)

The goal of the Machine-Learning Circuits and Systems Technical Committee is to foster research, development, education, and community dissemination of technologies, design methodologies, and knowledge related to circuits and systems for machine learning-based artificial intelligence. This includes architecture design, theoretical development, design methodologies, circuit implementation, and demonstration, all as they relate to the design of circuits and systems for machine learning. Application areas include, but are not limited to, circuit and electronic system design related to:

• Machine learning
• In-Memory Computing (IMC)
• AI/Machine Learning (ML) for Electronic Design Automation (EDA)