Boot Camp – Machine Learning & Artificial Intelligence for Hardware & Electronics Design

Tue. January 29| 9:00 AM - 4:30 PM | Great America 2

Pass Type: Boot Camp Pass

Track: 15. Machine Learning for Microelectronics, Signaling & System Design

Audience Level: All

Session Type: Boot Camp

Description: A day long introduction for beginners who are interested in learning the basics of machine learning (ML) and artificial intelligence (AI) and their applications in hardware and electronics design. Participants will have hands-on opportunity to measure and train dynamic neural networks to illustrate its usefulness for complex equalizer modelling.
Topics covered:
  • Introduction to ML and AI
  • Linear and logistic regression
  • Bayesian surrogate models
  • Artificial neural networks
  • Regularization and gradient descent
  • Recurrent neural networks
  • Advance topics in mML and AI (PCA and self-correcting models)
  • Live demo of using test instruments as ML tools

Takeaway:


Speakers

Christopher Cheng

Christopher Cheng

Distinguished Technologist

Hewlett Packard Enterprise

Role: Speaker

Paul Franzon

Paul Franzon

Cirrus Logic Distinguished Professor

North Carolina State University

Role: Speaker

Madhavan Swaminathan

Madhavan Swaminathan

John Pippin Chair Professor

Georgia Institute of Technology

Role: Speaker

YongJin Choi

YongJin Choi

Master Technologist

HP Enterprise

Role: Speaker

Ting Zhu

Ting Zhu

Expert Engineer

HP Enterprise

Role: Speaker

Seamus Brokaw

Seamus Brokaw

Software Engineer

Tektronix

Role: Speaker