The emergence of generative AI technology is truly remarkable. However, I do not believe that current generative AI represents the ultimate goal of AI technology. Next-generation AI should possess comprehensive and flexible intelligence similar to that of humans while using less computing power and data.
In this presentation, we will examine the limitations and issues of current AI technologies, and discuss topics for future research. Next-generation AI, represented by AGI, is believed to have three main goals. The first is AI that can autonomously grow, the second is the integration of multimodality, and the third is embodied AI that can understand common sense. Finally, we will also suggest the development direction of humanoid technology that can encompass all these AI technologies.

The use of terrestrial or flying robots carrying radio equipment is the new promising frontier in our quest towards ever more flexible, adaptable wireless networks. Robot-augmented networks are useful towards extending connectivity, but as it is less known, they also provide unique sensing capabilities. Whether for relaying, mapping or localization purposes, the ultimate selling point of in-network robots lies in their ability to self-navigate in 2D or 3D across meaningful locations so as to improve how data is collected, a concept borrowed from robotics' active learning. This presentation reviews some recent results, illustrated with real-life experiments leveraging the OpenAirInterface open-source 5G software framework, as well as other plentiful scientific and practical challenges for the use of in-network flying robots.

The main challenge we have today is network coverage.
World population is around 8 billion today and expected to grow to 10 billion by year 2050 or in 25 short years. According to the World Bank's World Development Report 2023, 95% of the world's population is concentrated on just 10% of the world's land mass. 90% of the population has mobile coverage while the last 10% is the most difficult to reach and often the most expensive to cover. Or in other words, the last 1 billion people will be difficult to reach via cellular.
Interestingly enough, many verticals such as: agriculture, mining, oil & gas, utilities, and transportation operate in remote areas and fall in that last 10% most difficult to reach coverage zone. As we move towards automation, this is where we believe a convergence between satellites and cellular is well poised to provide 100% coverage
Globalstar is well established and is positioned with right mix of assets to provide coverage in areas where terrestrial options do not exist.
Join this session to learn:
• Challenges of true global connectivity
• How to effectively and affordably overcome these challenges
• Convergence of coverage use cases

Fun is the future! Why? Because fun is a key ingredient to enhance education, advance science, and strengthen cultural connections. Research at the ETH Game Technology Center (GTC) uses advanced game technologies like augmented reality and machine learning to weave layers of playful interaction into important human activities. In this keynote, I will present projects from the GTC that use game technology to advance our efforts in education, research, and outreach. For example, the GTC’s capstone course on game programming helps reinforce computer science learning at the university level, while our "Game Creator" app uses the same principles to expose children to the logic of programming. Other areas of emphasis include our group’s long history of work in augmented and virtual reality, tools to author believable character animation, and our newest exploration into intelligent interactive characters.

As AI and cloud technologies continue to reshape the telco landscape globally, there's a burgeoning interest in migrating from traditional, hardware-centric network infrastructures to innovative systems and methodologies. KT is actively leveraging AI and cloud solutions to enhance network efficiency and elevate service quality. This keynote will delve into diverse use cases showcasing the optimization of network equipment and the enhancement of quality through AI-driven methodologies. Practical insights and case studies elucidating the seamless integration of cutting-edge technologies into existing network architectures will also be shared. Join us as we unveil KT's forward-looking vision for the future of Networking.

Already in 2021 Fraunhofer Gesellschaft started a Lighthouse project on 6G, lead by Fraunhofer IIS. The goal of the project was to work on key enabling technologies for 6G and thus provide the scientific and technical basis for participation to upcoming national and international research projects and 6G standardization.
This talk will give an overview on the project and summarize the main results and next research steps. Main areas are terahertz technologies, flexible 3D-networks, 6G architecture and tight integration of localization in 6G.