Prof. Jason Cong gave a keynote speech and the ACM Breakthrough Lecture at KDD’2025 on August 5, 2025 in Toronto, Canada. His talk, titled "Deep Learning Meets Chip Design: Driving Next-Gen Efficiency and Innovation”, discussed the opportunities and progress for AI models and hardware accelerator co-design towards the goal of efficient general intelligence (EGI). It also presented the latest research results at UCLA on using AI/ML techniques to automate chip designs to enable further innovation. KDD is the premier Data Science conference, hosting both a Research Track and an Applied Data Science Track. KDD’2025 was attended by over 2,300 researchers and practitioners.
To see a recording of Professor Cong’s keynote, visit this link: https://www.youtube.com/watch?v=BZMlKOICg6c
