Tea Time Talks 2024: Shang Wang, Reinforcement Learning for Chip Design
Tea Time Talks are back for another year. This summer lecture series, presented by Amii and the RLAI Lab at the University of Alberta, give researchers the chance to discuss early-stage ideas and prospective research. Join us for another series of informal 20-minute talks where AI leaders discuss the future of machine learning research.
Abstract:
In 2020, Google shook up the EDA field with a groundbreaking Nature paper on using reinforcement learning (RL) for chip design, kicking off a new AI wave.
This talk will dive into what makes chip placement so challenging and how RL can tackle these challenges.
We’ll explore the exciting potential of RL in this space and the real-world challenges we still need to tackle.
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