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The Next Generation of Engineering

Machine Learning, EDA, and a New Quantum State

“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.

Click here to download this episode

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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Fish Fry Executive Interviews

Anupam Bakshi, CEO – Agnisys

Dave Kleidermacher, CTO – Green Hills Software

Robert Blake, CEO – Achronix

Jack Harding, CEO – eSilicon

Michiel Ligthart, COO – Verific

Adnan Hamid, CEO – Breker Technologies

Simon Davidmann, CEO – Imperas

Ted Miracco, CEO – SmartFlow Compliance Solutions

Jessica Gomez – Rogue Valley Microdevices

Shishpal Rawat, Chairman – Accellera Systems Initiative

Kevin Bromber, CEO – myDevices

Daniel Hansson, CEO – Verifyter

Mark Papermaster, CTO – AMD

David Fried, CTO – Coventor

Dr. Steven LeBoeuf, President – Valencell

David Dutton, CEO – Silvaco

Bob Niemiec, CEO – TwistThink

Allan Martinson, COO – Starship Technologies

Zhihong Liu, Chairman and CEO – ProPlus Solutions

Taher Madraswala, CEO and President – Open-Silicon

Kapil Shankar, CEO and Director – AnDAPT

Dan Fox, CTO – Local Motors

David Su, CEO – Atomic Technologies

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