How Is AI Revolutionizing Chip Innovation? | Kisaco Research

The world today is experiencing an AI revolution. We haven’t seen productivity transformations like this since the dawn of the computer age and the industrial revolution before that. Companies from every market segment are feeling the effects that AI brings to the table including the semiconductor industry. McKinsey & Company reports that design complexity and process complexity will double with every new process node generation leading to a dramatic increase in design and labor costs. Add to this, the engineering shortfall hitting the semiconductor industry and it has become clear that how chips are designed needs to dramatically change.  

 

Artificial intelligence has inherent traits that make it the perfect solution to embrace these challenges and infuse automation throughout the chip design and development flow. But what limitations does AI have and how is it evolving so that it can keep pace with the productivity and quality demands of the market? The application of AI also goes far beyond the scope of design. The massive amount of data that AI engines harvest and AI itself can be used to understand design trends, monitor silicon life cycles, and improve yield. Data will play a key role in the next evolution to enable chip design using generative AI. In this keynote, Thomas Andersen will explore how this transformative technology impacts innovation and optimization for chip design and beyond. 

Sponsor(s): 
Synopsys
Speaker(s): 

Author:

Thomas Andersen

VP, AI and Machine Learning
Synopsys

Dr. Andersen heads the artificial intelligence and machine learning design group at Synopsys, where he focuses on developing new technologies in the AI and ML space to automate the future of chip design. He has more than 20 years of experience in the semiconductor and EDA industry. Dr. Andersen started his career at IBM’s TJ Watson Research Center in Yorktown Heights, New York, followed by managing synthesis/place-and-route engineering at Magma Design Automation and Synopsys. He holds a Master’s degree from the University of Stuttgart and a Ph.D. in Computer Engineering from the University of Kaiserslautern in Germany.

Thomas Andersen

VP, AI and Machine Learning
Synopsys

Dr. Andersen heads the artificial intelligence and machine learning design group at Synopsys, where he focuses on developing new technologies in the AI and ML space to automate the future of chip design. He has more than 20 years of experience in the semiconductor and EDA industry. Dr. Andersen started his career at IBM’s TJ Watson Research Center in Yorktown Heights, New York, followed by managing synthesis/place-and-route engineering at Magma Design Automation and Synopsys. He holds a Master’s degree from the University of Stuttgart and a Ph.D. in Computer Engineering from the University of Kaiserslautern in Germany.