Machine Learning Meets IC Design

Date: June 29, 2017 Published by



  • With machine learning we may still have pre-defined features, and that is the differentiation between machine learning and deep learning.
  • Advances in analytics allow prior design data and trends to be examined (mined) and used to guide design decisions at the earliest stages of the design flow.
  • For machine learning, the starting point is statistical and not deterministic, and it does involve a database because you have to learn from experience.
  • These same methods can be used to discover and provide context that drives the training and development of machine learning engines.
  • Machine learning can bring improvements in productivity by 10X, reduction in characterization time by weeks, and the reduction in the number of resources.


Machine Learning Meets IC Design

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