The futures of AI and wireless networks are intricately intertwined. On the one hand, AI is a potent tool for automating the deployment and management of wireless networks. The next-generation wireless network, on the other hand, can support the training and deployment of AI models by providing an ocean of multi-modal data and a distributed computation resource. However, at present, they are generally regarded as independent fields, preventing them from capitalizing on the superior performance of the other. To that end, we propose to facilitate the convergence of next-generation wireless networks and AI by prototyping a first-of-its-kind Pathway-of-Experts (PoE) AI system to enable user-centric applications (such as smart homes), which contain a variety of inter-connected expert models. To prove its superior performance, we propose a groundbreaking demonstration of a PoE system in a smart home environment. Our demo showcases how a variety of interconnected expert models can revolutionize smart home technology. This demo not only exemplifies the convergence of wireless networks and AI but also highlights the practical applications of this synergy in creating responsive, intelligent environments.
Toward the Convergence of the Next-Generation Wireless and AI
Toward the Convergence of the Next-Generation Wireless and AI
Toward the Convergence of the Next-Generation Wireless and AI
Research Paper / May 2024 / Wireless communication, Machine learning/ Deep learning /Artificial Intelligence
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