The HYPER-AI project aims to revolutionize the field of distributed computing by addressing the complexities of integrating Internet of Things (IoT), Edge, and Cloud computing domains. It focuses on the creation of smart virtual computing nodes, optimizing data-processing applications across a distributed network to enhance performance and efficiency. HYPER-AI leverages autonomous, self-organizing computing swarms, enabling dynamic connectivity and cooperation among diverse computing resources. This approach facilitates the seamless integration of resources across all levels of the computing continuum, from edge devices to cloud infrastructure, through innovative semantic representation and orchestration techniques.
The project envisions a new era of computing ecosystems that are adaptable, efficient, and capable of supporting highly demanding applications in various domains such as healthcare and energy, thus contributing significantly to the advancement of digital technologies and sustainable development goals.
The DMML group from HES-SO participates in the project, to provide Reinforcement learning expertise. More particularly, our group will focus on Hierarchical Multi-Agent Deep Reinforcement Learning for Data Management.