As the telecommunications industry advances toward 6G, the need for a robust, intelligent, and adaptive simulation framework has become paramount. VIAVI’s 6G Digital Twin represents a groundbreaking leap in enabling innovative AI-driven simulation and use case analysis across 5G Advanced, Non-Terrestrial Networks (NTN), Open RAN, AI-RAN, and future 6G architectures. By creating a high-fidelity virtual replica of real-world network environments, the VIAVI 6G Digital Twin integrates advanced telemetry, synthetic data generation, and machine learning engines to allow researchers, vendors, and operators to rapidly model, test, and optimize next-generation use cases—ranging from ultra-reliable low-latency communications and AI-powered orchestration to space-based networks and distributed intelligence. This digital twin environment supports full-stack emulation of RAN and core functionalities, enabling seamless collaboration across ecosystem partners while ensuring security, performance, and interoperability validation at scale. The 6G Digital twin platform accelerates innovation cycles, reduces the cost and risk of deploying new technologies, and helps shape the foundational intelligence layer needed for autonomous and self-evolving 6G

As telecommunications evolves into the backbone of global digital transformation, the integration of Generative AI stands at the forefront of this revolution. In this talk, we will explore how TelecomGPT redefines the way we approach intelligent connectivity. From enhancing customer service to optimizing network performance, Generative AI is bridging the gap between vast datasets and actionable insights. We will address in particular the broader implications of Generative AI in telecommunications, from transforming operational efficiency to enabling the 6G era of distributed, low-latency AI.

Recent advancements in quantum information science are poised to unleash new sensing, communication, control, and computing (SC3) capabilities. Synergies in SC3 promise the development of next-generation networks with unprecedented performance. For instance, (i) control of statistical information empowers practical quantum inference, (ii) quantum ranging and synchronization facilitate networked sensing, and (iii) remote entanglement establishment enables quantum telecomputation. Quantum Nexus unifies SC3 and provides key insights into the systematic design of quantum information technologies. Quantum Nexus has led to new theories and methodologies for, among others, quantum localization; quantum state design and discrimination; quantum information control; and concealed quantum telecomputation. This talk will introduce Quantum Nexus for SC3 and highlight key areas of research.

To ensure a successful AI transformation (AX) across our society and to promote sustainable growth for the future, an “AI Safety Ecosystem” must be intentionally designed and built from the very beginning. This involves a comprehensive process, starting with the identification of potential risks inherent in AI models and systems, followed by risk assessment, and the development of national-level response strategies, including mitigation measures. This presentation introduces approaches to address these challenges effectively, with a particular focus on fostering international cooperation. It also examines Korea’s strategy for building its AI Safety Ecosystem, highlighting the role of the Korea AI Safety Institute (AISI) as defined in the AI Framework Act, which will take effect in January next year.

With the start of standardization of 6G being imminent, the shape that future mobile networks will take is becoming increasingly clearer. We begin with an overview of the current industry trends and future human needs that are driving the contours of the next generation of mobile networks. We will then describe the technologies that will be at the foundation of the three main themes, namely extreme connectivity, AI-native, and integrated sensing and communications that are likely to characterize future mobile networks. Extreme connectivity in new spectrum bands will rely on advances in massive MIMO enabling its evolution to extreme MIMO. We will discuss new MIMO technologies such as reconfigurable metasurfaces and dense antenna arrays. Pervasive use of AI techniques across the layers of the protocol stack with a solid management framework will pave the way for AI-native networks. We will present various applications of AI to the physical and medium access layers and semantic communications will be discussed. Integrating sensing into communications coupled with an API exposure framework will offer new opportunities for monetization. We will discuss the various opportunities and challenges across these novel technologies.

The rapid evolution of Artificial Intelligence, particularly the drive towards on-device intelligence, presents both unprecedented opportunities and significant challenges. While processing power continues to accelerate, the inherent limitations of portable devices—spanning power consumption, battery life, and physical form factors—suggest that a fully on-device AI paradigm faces substantial hurdles in the immediate future. This necessitates a strategic pivot towards edge computing, specifically focusing on in-house edge devices that prioritize user privacy and control.
Concurrently, global demographic shifts, especially the increase in household units even as population growth moderates, signal a transition from a purely personal computing era to one centered on the 'family' or 'household' as the primary unit of digital interaction. This trend fuels a growing demand for localized, privacy-centric AI solutions that operate within the confines of a home or small group, enabling personalized training and data management under the user's direct control. We emphasize the critical role of pervasive IoT (Internet of Things) technologies in this evolving landscape.
This keynote will explore the emergence of this In-House Edge AI paradigm, where light, portable devices primarily serve as interfaces, while intensive AI training and complex computations occur on dedicated, privacy-enhanced in-house hubs. This architecture not only addresses the practical constraints of on-device AI but also profoundly redefines the role of communication. We will highlight the decisive importance of robust and secure Peer-to-Peer (P2P) communication within this localized ecosystem. Specifically, we will delve into how the convergence of advancements in cellular communication towards 6G, next-generation Wi-Fi (e.g., Wi-Fi 7 and Wi-Fi 8), Bluetooth, and GNSS technologies will enable the seamless, high-bandwidth, and low-latency interactions crucial for the widespread adoption of In-House Edge AI. As a leader in Communication Processor development, Samsung S.LSI is at the forefront of innovating these essential technologies, shaping a future where intelligent connectivity delivers unparalleled convenience and privacy within every home.