The Frontiers of Physical AI
6th Study Session
The Frontiers of Physical AI - CES 2026 Updates
Overview
The 6th Physical AI Study Group was held on January 14. We invited Mr. Suzuki from NVIDIA, who gave a lecture on "Physical AI," which the company is focusing on, including the latest updates from CES 2026. The content was designed to be enjoyable for beginners to experts alike, comprehensively covering a wide range of topics from implementation cases in real industries, ecosystems, to development resources. The networking session that followed featured active discussions among participants.
Timetable
Registration Starts
16:30-16:45
Opening
16:45-16:50
NVIDIA Mr. Suzuki Speaker Session: The Frontiers of Physical AI
16:50-18:20 (CES 2026 Updates, Implementation Cases, Ecosystem, Development Resources)
Closing
18:20-18:30
Networking
18:30-19:00
Shared by the Speaker
* Presentation materials are not shared at the speaker's request. Below is a collection of links introduced during the presentation.
🎬Video Resources
- ▶The NVIDIA Rubin Platform: Six New Chips, One AI Supercomputer
- ▶The Next Generation of Industrial AI With Siemens and NVIDIA
- ▶How NVIDIA Alpamayo Uses Simulation to Teach AVs to Reason
- ▶Build Your Own AI Assistant with Hugging Face on NVIDIA DGX Spark
- ▶Scaling Code Review with CodeRabbit and NVIDIA Nemotron
- ▶The Future of Physical AI is Here
🔧Technical Resources
Start Building Your AI Here.
NVIDIA Corporation, NVIDIA Research Projects, NVIDIA AI IOT, NVIDIA AI Blueprints
All you need to build AI—GPU-optimized containers, pretrained models, SDKs, and Helm charts—unified in one catalog for cloud, data-center, or edge.
Watch the latest videos on AI breakthroughs and real-world applications—free and on your schedule.
Libraries and microservices for developing industrial digital twins and physical AI simulation applications.
A platform with open world foundation models (WFMs), guardrails, and data processing libraries to accelerate the development of physical AI for autonomous vehicles (AVs), robots, and video analytics AI agents.
Open robotics development platform consists of simulation and robot learning frameworks, NVIDIA® CUDA®-accelerated libraries, AI models, and reference workflows to create autonomous mobile robots (AMRs), robot arms, manipulators, and humanoids.
Open AI models, simulation, and datasets for reasoning-based autonomous vehicles.
📄Papers
🚀Startup Support
🤖Physical AI Use Cases
📅NVIDIA Tech Conference GTC 2026
- Starting March 16, held on-site (San Jose, USA) and online.
- Over 30 Physical AI-related sessions planned, including sessions on the latest technology trends and use cases, as well as exhibitions.
- Registration available for both on-site and online participation.
- On-site participation fees include early bird discounts (until February 2) and academia discounts. Online participation is free.
Gallery
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Presentation Scene (1)
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Presentation Scene (2)
Networking Scene
* Click photo to enlarge