Knowledge Hub
Where NAIRL opens its research to the world — a flagship international symposium convening global AI leaders, and open-lab showcases that bring the consortium’s work to industry and the public.
NAIRL’s flagship international symposium returns in 2026, convening leading AI researchers, policymakers, and industry leaders from around the world. The full program, speaker lineup, and registration are available at aifrontiers.kr.
Panasonic Professor, MIT
Academy Keynote · Rational Robots
VP of Research, OpenAI
Industry Keynote
Kee-Eung Kim (Director, NAIRL · KAIST), Leslie Pack Kaelbling (MIT), Noam Brown (OpenAI), Kyunghyun Cho (Director, Global AI Frontier Lab · NYU), and Emily Black (NYU).
See the full program, speakers, and registration at aifrontiers.kr →
Co-hosted by NAIRL and the Global AI Frontier Lab, the symposium shared a year of international collaborative research and set out a blueprint for global AI cooperation — drawing more than 500 leaders from academia, industry, and government.
Turing Award laureate · Professor, New York University
Keynote · The future of AI governance
Professor, Stanford University · Senior Director, NVIDIA
Keynote · The evolution of generative AI
New model architectures and training paradigms that push past the limits of today’s scaling laws.
Embodied intelligence and robotic foundation models that operate reliably in the physical world.
Researchers from Korea, the United States, Japan, France, and the UAE shared joint results, with a panel discussion featuring Yann LeCun, Yejin Choi, Kyunghyun Cho, and NAIRL Director Kee-Eung Kim. Read the recap →
NAIRL’s first open-lab event opened the consortium’s research to industry and the public — presenting progress across its three core pillars and probing where researchers and industry can collaborate next.
Neural-scaling research toward models that go beyond the cost and energy limits of scaling laws.
Foundation models for embodied intelligence, driving a paradigm shift toward physical AI.
Generative research across ultra-high-dimensional, multimodal data for real-world applications.
Director Kee-Eung Kim framed the showcase as a platform for deep industry–academia collaboration, not just a results briefing. Read the recap →