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.
September 3, 2026
Beyond Scale: The Art of (Artificial) Reasoning and Discovery
Yejin ChoiStanford University
July 21, 2026
Doosan Robotics’ Physical AI: The Present and the Future
Kevin KimDoosan Robotics
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
December 9, 2025
Robust Visual Perception in Adverse Conditions
Suha KwakPOSTECH
November 25, 2025
Building a Social Safety Platform with AI and Robotics
Ick-Jae KimKIST AI & Robotics Institute
October 14, 2025
Cognitive RF Systems: Using AI to Solve Complex Problems
Karen Zita HaighIndependent Consultant
September 29, 2025
AI and the Future of Medicine
Daniel RückertTechnical University of Munich · Imperial College London
September 16, 2025
Acceleration and Personalization of VLMs
Yu-Chiang Frank WangNVIDIA · National Taiwan University
August 7, 2025
Computational Imaging and Future Cameras
Shree K. NayarColumbia University
July 31, 2025
Computing with Neural Manifolds: A Multi-Scale Framework
SueYeon ChungHarvard University
July 28, 2025
Estimating Neural Representation Geometry in Large Networks
Daniel Dongyuel LeeCornell Tech
July 8, 2025
Ensuring Data Ownership in Generative Visual Models
Jun-Yan ZhuCarnegie Mellon University
July 1, 2025
Geometric-priors Guided 3D Reconstruction / Visual Contents Generation
Shenghua GaoThe University of Hong Kong
June 27, 2025
Recent Results on Multimodal Foundation Models
Ming-Hsuan YangUC Merced · Google DeepMind
June 20, 2025
Implicit Biases of Large Learning Rates in Machine Learning
Molei TaoGeorgia Institute of Technology
June 9, 2025
Special Talk Series — RL for LLM Alignment, Risk-sensitive RL, and more
Pascal PoupartUniversity of Waterloo · Vector Institute
June 5, 2025
Bending Scaling Laws with Brighter Algorithms
Yejin ChoiStanford University · NVIDIA
June 2, 2025
Recent Advances in Predictive Bayesian Inference
Edwin FongUniversity of Hong Kong
May 27, 2025
Reliable and Safe AI
Myuhng-Joo KimAI Safety Institute
May 26, 2025
Special Talk Series — LLMs, Embodied AI, Hybrid Planning, and more (4 lectures)
Scott SannerUniversity of Toronto
April 11, 2025
Scalable Approaches for Visual Scene Understanding
Junhwa HurGoogle DeepMind
April 1, 2025
Event-Based Vision: A High-Speed Alternative to Frame Cameras
Kuk-Jin YoonKAIST
February 27, 2025
Generative AI and Copyright Law
Yunmyung KimDigital Policy Research Institute
November 27, 2024
French-Korean Workshop on AI, Network & Communication, Programming Languages and Applied Mathematics
WorkshopJoint French–Korean program
November 12, 2024
Fluid Dynamic Models in Machine Learning
Daniel D. LeeCornell University
October 29, 2024
Towards Safe, Calibrated and Accessible Artificial General Intelligence
Pascal PoupartUniversity of Waterloo