One Day. One Track.

Join Program Co-Chairs Nanda Kishore and Anthony Annunziata for an introduction to the choices shaping Japan’s industrial AI future. From frontier research to factory operations, the day asks where Japan can lead, which capabilities it needs, and how you can contribute.

As AI learns from industrial experience, control of that knowledge becomes a strategic choice. Christopher Nguyen examines ownership of models, deployment and accumulated learning, helping you consider what companies and nations should retain and what they can develop together.

Yann LeCun examines the science behind AI that could anticipate consequences before acting: world models, predictive representations and JEPA-based approaches. Explore the implications for robotics and simulation, and the research that could expand the possibilities for industrial autonomy.

Turning research into national capability takes connections between government, academia and business. Drawing on Korea and Vietnam, Young-Sup Joo shares a regional policy perspective. Consider the lessons for Japan’s competitiveness and opportunities to strengthen industrial capability through collaboration across Asia.

Materials discovery depends on scientific knowledge scattered across thousands of papers, experiments, and hard-won lessons. The Organic Chemist Agent uses an ontology-based approach to connect chemicals, reactions, conditions, mechanisms, failures, and solutions into a form AI can reason over.

Using 4,237 papers from the Beilstein Journal of Organic Chemistry, this proof of concept explores how connected scientific knowledge can become foundational infrastructure for AI-native materials R&D.

Japan is entering a new era of AI, where national ambition, enterprise transformation, and industrial capability increasingly converge.

This conversation explores what AI sovereignty means in practice for Japan: how to build globally competitive capabilities, extend human expertise, and accelerate transformation while retaining control of critical industrial knowledge, technology, and operational intelligence.

Low power, real-time response and security become critical as AI moves into industrial equipment. Gaurang Shah examines gaps in today’s compute and embedded platforms. You’ll learn how connectivity and system design shape the requirements for deploying industrial intelligence at scale.

Toshikazu Okuya will share Japan’s advantages and strategy for physical AI, beyond extensions of large language models. You’ll hear the national policy perspective on this emerging field and consider what it could mean for your industry’s future.

The pieces of physical AI are coming together: more capable AI architectures, shared and sovereign infrastructure, Digital Engineers that capture and scale industrial expertise, and the capacity to deploy them across the real economy. This conversation brings those layers together to examine what comes next. How do we turn frontier advances into trusted industrial systems? What should be shared, and what must remain under sovereign control? And what will it take for companies and nations to build, operate, and continuously improve the intelligence their physical industries will increasingly depend on?

Bring your perspective to the choices shaping Japan’s industrial AI future. Participate in the discussion on industrial AI architectures, trusted data spaces and factory agents. Consider which capabilities Japan should own and where your expertise could contribute to international collaboration.