A three-stage modular AI framework, pretrain, cluster experts, and learn routing, improves channel extrapolation accuracy and cuts FLOPs in simulated 6G scenarios.
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
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abstract
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI. A core component of this is the embodied Turing test, which challenges AI animal models to interact with the sensorimotor world at skill levels akin to their living counterparts. The embodied Turing test shifts the focus from those capabilities like game playing and language that are especially well-developed or uniquely human to those capabilities, inherited from over 500 million years of evolution, that are shared with all animals. Building models that can pass the embodied Turing test will provide a roadmap for the next generation of AI.
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Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective
A three-stage modular AI framework, pretrain, cluster experts, and learn routing, improves channel extrapolation accuracy and cuts FLOPs in simulated 6G scenarios.