Applications of science-driven AI in the semiconductor EDA

Igor Markov
13:30 - 13:50
, June 8
June 8

Artificial Intelligence is an avenue to innovation that is touching every industry worldwide. AI has made rapid advances in areas like speech and image recognition, gaming, and even self-driving cars. In the area of chip design, we see a growing gap in what designer’s want to achieve and what the available resources and time allow. This presentation will provide an overview of recent AI trends, show how the latest AI technology including Generative AI can be applied to optimize and automate chip design tasks from architectural design to digital and analog implementation, optimizing silicon life cycles and improving yield. We will also discuss future AI trends and opportunities to accelerate time to market, improve productivity and achieve better quality of results.

About the speaker

Igor Markov

Igor Markov

Igor Markov is a Distinguished Architect at Synopsys and an IEEE Fellow. He previously worked at Meta on AI platforms and at Google on Search. As a professor at the University of Michigan, he performed research on EDA, coauthored a textbook on Physical Design and co-edited a two-volume EDA Handbook. He won best paper awards at ICCAD, ISPD, DATE, and TCAD, and published over 200 peer-reviewed papers. At Synopsys, Igor has been leading the AI Disruption Task Force, participating in the GPU Task Force, and contributing to quantum computing efforts

Igor Markov is a Distinguished Architect at Synopsys and an IEEE Fellow. He previously worked at Meta on AI platforms and at Google on Search. As a professor at the University of Michigan, he performed research on EDA, coauthored a textbook on Physical Design and co-edited a two-volume EDA Handbook. He won best paper awards at ICCAD, ISPD, DATE, and TCAD, and published over 200 peer-reviewed papers. At Synopsys, Igor has been leading the AI Disruption Task Force, participating in the GPU Task Force, and contributing to quantum computing efforts

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© 2025 VLSI Workshop Science Meets AI
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© 2025 VLSI Workshop Science Meets AI
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© 2025 VLSI Workshop Science Meets AI