Keynote 1

CC Chong, NVIDIA, USA

Title: From Simulation to Reality: The Role of NVIDIA Aerial Omniverse Digital Twin in the AI-Native 6G Revolution

Abstract: The future of wireless communication will be born in simulation. As 6G moves toward an AI-native architecture, the traditional "deploy-then-optimize" model is being replaced by a simulation-first mandate. To build the hyper-connected world of tomorrow, we must first master it in a virtual landscape. In this keynote, NVIDIA and industry pioneers reveal how the NVIDIA Aerial Omniverse Digital Twin (AODT) is redefining the telecommunications roadmap. By fusing real-time physics with AI, AODT creates a "living" laboratory where operators model complex radio environments and traffic patterns with unprecedented precision. Join us to see how the digital twin is no longer just a tool, but the fundamental blueprint for turning the promise of 6G into a functional reality.

Keynote 2

Walid Saad, Virginia Tech, USA

Title: Why AI Still Can't Handle the Physical World: AGI-Native Wireless Systems for Physical AI

Abstract: Artificial intelligence (AI) revolutionized multiple sectors ranging from healthcare to entertainment. Remarkably, despite this progress, today's AI tools, including deep learning and generative AI (e.g., large language models), still fail when embedded into physical systems, such as robots, drones, or vehicles, that operate under the physical laws of the real world, as evidenced by recent high-profile incidents involving Waymo, GM's Cruise, and Tesla Autopilot. Indeed, the success of physical AI systems is contingent upon addressing three intertwined challenges: (a) Limited ability of existing AI frameworks to handle unseen and out-of-domain scenarios, (b) Lack of first-principle solutions that allow a physical AI agent to navigate the real world governed by physical laws, and (c) Need for pervasive connectivity to support physical AI tasks, such as inference and communications, at scale. In this talk, we address these challenges by pioneering a novel wireless system architecture and framework, dubbed artificial general intelligence (AGI)-native wireless systems, that supports the intelligence and communications needs of physical AI systems. We demonstrate how a strategic fusion of wireless systems, digital twins, neuroscience, and AI can catalyze a paradigm shift in both wireless and AI technologies through an AGI architecture founded on three components: a) perception, b) world model, and c) action-planning, imbued with human-like cognitive capabilities including reasoning, planning, imagination, and deep thinking. Grounding each component in concrete results, we first demonstrate how perception enables effective semantic communication systems that address the connectivity needs of physical AI at scale, and will be a staple of 6G systems and beyond. We then introduce a novel world model architecture built on Kahneman's thinking fast and slow principle, demonstrating its effectiveness for AI generalization and long-term reasoning, and its ability to enable data-efficient link scheduling with significant age of information gains in wireless vehicular networks, and robust generalization to unseen network conditions such as varying vehicle densities and link blockage scenarios. Finally, integrating all three components, we introduce a fundamental test-time scaling law that allows physical AI agents to handle unforeseen real-world scenarios. We particularly demonstrate how the first principle of active inference instills a survival instinct via surprise minimization into the physical AI agents, enabling them to reason and generalize beyond their training data. We conclude with a discussion of the exciting opportunities in this space, and how this vision transforms telecom operators from communication providers into intelligence providers for physical AI.