Knowledge Hub
Seminars
The NAIRL Invited Talk Series brings leading researchers and practitioners from academia and industry to share frontier work in AI with the consortium.
June 2, 2026
World Models for Vision and Artificial Intelligence: Bayes or Bust
Alan YuilleJohns Hopkins University
May 28, 2026
Innovating the Way AI Works: Samsung SDS’s Stories of Solving Enterprise Problems
Taehee LeeSamsung SDS
May 14, 2026
Beyond Agentic AI to Physical AI: Creating a Better World with LG AI
Seung Hwan KimLG AI Research
May 5, 2026
Accelerating Life Evolution with AI
Minhyeong LeeAsteromorph
April 22, 2026
Why Silicon Valley Bets on Physical AI: Robotics, Manufacturing, and Korea’s Moment
JaeKwon SonThe Miilk
April 12, 2026
Deep Tech Startups and AI from a VC’s Perspective
Johnny JW ChoiFuturePlay
March 20, 2026
From Benchmarks to Experience: Engineering and Evaluating Frontier AI Systems
Danial MirzaOpenAI
March 19, 2026
Top 3 AI Powerhouses: The Future We Build
Youngsun ParkSogang University
October 31, 2025
Using AI to Solve Complex Problems
Karen Zita HaighIndependent Consultant
October 31, 2025
Predictive Bayesian Inference
Edwin FongUniversity of Hong Kong
October 31, 2025
Reliable and Safe AI
Myuhng-Joo KimAI Safety Institute
October 31, 2025
Scalable Approaches for Visual Scene Understanding
Junhwa HurGoogle DeepMind
October 23, 2025
Event-Based Vision: A High-Speed Alternative to Frame Cameras
Kuk-Jin YoonKAIST
January 16, 2025
French-Korean Workshop on AI, Network & Communication, Programming Languages and Applied Mathematics
WorkshopJoint French–Korean program
January 16, 2025
Fluid Dynamic Models in Machine Learning
Daniel D. LeeCornell University
January 16, 2025
Towards Safe, Calibrated and Accessible Artificial General Intelligence
Pascal PoupartUniversity of Waterloo