Aim and Scope

Generative AI (GAI) has seen rapid advancements and gained immense popularity in recent years. With its extensive model parameters and learning from vast datasets, generative AI is capable of creating new content, such as text, images, music, and videos, which were once considered exclusive to human creativity. Popular generative AI including Large Language Models (LLMs) and Generative Adversarial Networks (GANs) have demonstrated remarkable capabilities in conversation systems and image generation. The creativity and adaptivity of generative AI are essential for the development of Hyper Intelligence.

Hyper Intelligence (HyperI) is an emerging interdisciplinary field focused on achieving super-intelligent abilities to tackle complex tasks. It involves the study of hyper-connections, hyper-compositions, hyper-collaborations, and hyper-cognition among intelligent entities. Hyper-intelligent systems are increasingly prevalent in various applications, such as smart transportation, intelligent healthcare, and personalized education. However, the rise of these systems presents numerous challenges, including theoretical and framework development, security and safety concerns, and issues related to human interaction and personalization. We believe that generative AI can enable hyper-intelligent systems to devise innovative and adaptive solutions to handle the above challenges. 

This workshop aims to investigate both theoretical foundations and practical applications to address emerging challenges and opportunities in Hyper Intelligence. We welcome researchers to discuss and examine ongoing research on Hyper Intelligence by leveraging Generative AI. 

Topics of interest include, but are not limited to: