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Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge
We report that although pruned networks are accurate on controlled, high-quality images of the grass, they struggle to generalize to real-world smartphone images that are blurry or taken from challenging angles.
Complexity-Driven CNN Compression for Resource-constrained Edge AI
Recent advances in Artificial Intelligence (AI) on the Internet of Things (IoT)-enabled network edge has realized edge intelligence in several applications such as smart agriculture, smart hospitals, and smart factories by enabling low-latency and computational efficiency.
AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends
It is anticipated that Metaverse will be a continuum of rapidly emerging technologies, usecases, capabilities, and experiences that will make it up for the next evolution of the Internet.
Towards On-Device AI and Blockchain for 6G enabled Agricultural Supply-chain Management
6G envisions artificial intelligence (AI) powered solutions for enhancing the quality-of-service (QoS) in the network and to ensure optimal utilization of resources.
