Contents

Please visit the official website of workshop for more details.

The transformative potential of large language models (LLMs)-aided digital twins is pivotal in creating innovative societies and advanced metaverse environments. Real-time data synchronization and predictive analytics significantly enhance efficiency and decision-making across diverse industries. This technology can revolutionize urban infrastructure, healthcare services, and energy management, fostering more sustainable and optimized living conditions. Additionally, it ensures interoperability and scalability within the metaverse, driving innovation and seamless integration of virtual and physical worlds. The workshop on the future of LLMs-aided digital twins in the metaverse aims to provide valuable insights and foster discussions on developing smart societies. Topics of interest will include integrating natural language processing (NLP) modules in digital twins, using LLMs for scenario simulation and predictive analytics, and case studies showcasing the implementation of LLMs in various industries. Techniques for real-time data synchronization between physical assets and their digital counterparts will also be explored. The workshop will explore developing virtual environments that accurately represent physical spaces, address challenges and solutions for ensuring interoperability and scalability within the metaverse, and leverage digital twins for smart city infrastructure management, traffic optimization, and resource allocation. Furthermore, it will cover using digital twins to simulate patient outcomes, optimize treatment plans, improve healthcare services, enhance public transportation systems, reduce traffic congestion, and improve logistics. Additionally, it will discuss optimizing energy consumption and integrating renewable energy sources into smart grids, ensuring the protection of sensitive data, addressing biases, fairness, and transparency in LLMs and digital twins, and adhering to legal and regulatory requirements for the use of AI and digital twin technologies.

The "6G Revolution: Unleashing the Power of Novel AI Techniques" workshop will offer a compelling and interactive format designed to ignite intellectual discourse, foster collaboration, and drive innovation. Through captivating keynote speeches, thematic presentations, a thought-provoking panel discussion, a visually engaging poster session, and dedicated networking opportunities, participants will actively share knowledge, explore cutting-edge research, tackle challenges, and forge connections with fellow researchers and industry experts. This immersive format will empower attendees to collectively shape the future of AI in the 6G era, unlocking new possibilities and paving the way for groundbreaking advancements at the intersection of 6G technology and novel AI techniques.

Topics of Interests

• Integration of natural language processing (NLP) modules in digital twins.
• Use of LLMs for scenario simulation and predictive analytics.
• Case studies showcasing the implementation of LLMs in digital twins for various industries.
• Techniques for real-time data synchronization between physical assets and their digital counterparts.
• Development of virtual environments that accurately represent physical spaces.
• Challenges and solutions for ensuring interoperability and scalability within the metaverse.
• Leveraging digital twins for smart city infrastructure management, traffic optimization, and resource allocation.
• Using digital twins to simulate patient outcomes, optimize treatment plans, and improve healthcare services.
• Enhancing public transportation systems, reducing traffic congestion, and improving logistics through digital twins.
• Optimizing energy consumption and integrating renewable energy sources into smart grids using digital twins.
• Ensuring the protection of sensitive data within digital twin environments.
• Addressing biases, fairness, and transparency in LLMs and digital twins.
• Adhering to legal and regulatory requirements for using AI and digital twin technologies.

Submission Guide

We are currently accepting paper submissions for position, review, or research articles in two formats: full papers (up to 6 pages). All submissions will undergo peer review, and authors will have the option to publish their work in the conference proceedings site.

The submitted papers should follow the IEEE Format as follows: https://www.ieee.org/conferences/publishing/templates.

Submission Link

Organization Chairs

Sherief Hashima (RIKEN-AIP, Japan)

Mostafa M. Fouda (Idaho State University, ID, USA)

Akira Uchiyama (Osaka University , Japan)

Zubair Md Fadllulah (Western University, ON, Canada)

Hamada Rizk (Osaka University, Japan )