“Man’s relationship with technology is complex. We always invent technology, but then technology comes back and reinvents us” ― Atul Jalan
In this week’s episode of Fish Fry, we investigate the complex role of machine learning in the future of design automation. Norman Chang (ANSYS) joins us to discuss how machine learning will not only change the course of the evolution of EDA but also how we deal with design for reliability and FinFET degradation. Also this week, we check out a newly discovered form of electronic matter called the Vestigial Nematic State and how it was identified with a little help from a suite of especially trained neural networks.
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Links for June 28, 2019
Machine Learning helps solve a puzzle of how strongly interacting electrons behave at atomic level
Machine learning in electronic-quantum-matter imaging experiments (Whitepaper)
More information about ANSYS Semiconductor Solutions
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