Artificial Intelligence and Machine Learning in Chip Design
Two-day, live virtual training

Day 1: 13 August 2024 12-2pm ET
Day 2: 14 August 2024 12-2pm ET

In today's fast-paced technological landscape, AI and ML techniques are revolutionizing chip design methodologies. Integrated-circuit (IC) chip companies and engineers have unprecedented opportunities to use these technologies to enhance product quality across crucial dimensions such as speed, energy efficiency, and cost. This, in turn, allows for meeting goals with reduced engineering resources and accelerated time-to-market.

Attendees of the virtual training will also have the opportunity for first-hand interaction with Professor Kahng and ask him questions during the interactive question and answer portion of the training.

Successful completion of this training and assessment will award attendees an IEEE Certificate of Completion bearing professional development hours (PDHs) and continuing education units (CEUs).

Don't miss this opportunity to communicate directly with a leader in the industry! Contact us now to secure your spot in this enlightening training.

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Features

This comprehensive two-day virtual training will equip engineers with:

  • Essential knowledge to leverage AI and ML effectively in chip design and EDA,
  • Understanding of the rationale behind these technological shifts to identifying high-value applications and selecting relevant AI and ML technologies, and
  • Insights into optimizing design methods and preparing for the future of chip design.

Andrew B. Kahng is Distinguished Professor of CSE and ECE at University of California, San Diego (UCSD). He holds an A.B. from Harvard College, and M.S. and Ph.D. from UCSD. He is the author of 3 books, 500+ journal/conference papers, and 35 issued U.S. patents. He is an IEEE Fellow.

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