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Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI refers to the practice of doing AI computations near the users at the network's edge, instead of centralised location like a cloud service provider's data ...
Sukhpal Singh Gill
exaly +3 more sources
Low-rank adaptation for edge AI. [PDF]
The rapid advancement of edge artificial intelligence (AI) has unlocked transformative applications across various domains. However, it also poses significant challenges in efficiently updating models on edge devices, which are often constrained by ...
Wang Z, Ma H, Zhai J.
europepmc +2 more sources
Design of Internet of Things Framework Based on Artificial Intelligence and Edge Agents [PDF]
This paper explores the integration of edge computing with Artificial Intelligence(AI) models to enhance the capabilities of the Internet of Things(IoT)and expand its application potential.
Yaguo LI, Guanliang LI, Kai ZHANG, Tao JIN
doaj +1 more source
Edge AI, an interdisciplinary technology that enables distributed intelligence with edge devices, is quickly becoming a critical component in early health prediction.
Elarbi Badidi
doaj +1 more source
IEEE Access Special Section Editorial: Edge Computing and Networking for Ubiquitous AI
With its rapid development recently, edge computing with processing, storage, and networking capabilities has become an important solution to break through the bottleneck of emerging technology development by virtue of its advantages in reducing data ...
Victor C. M. Leung +4 more
doaj +1 more source
Practical Evaluation of Federated Learning in Edge AI for IoT
AI running locally on IoT Edge devices is called Edge AI. Federated Learning (FL) is a Machine Learning (ML) technique that builds upon the concept of distributed computing and preserves data privacy while still supporting trainable AI models. This paper
Sauryadeep Pal +3 more
doaj +1 more source
With the advent of agriculture 3.0 and 4.0, in view of efficient and sustainable use of resources, researchers are increasingly focusing on the development of innovative smart farming and precision agriculture technologies by introducing automation and ...
Diego Aghi +2 more
doaj +1 more source
AI Workload Allocation Methods for Edge-Cloud Computing: A Review
Edge computing is used with cloud computing as an extension to increase the performance of delay-sensitive applications such as autonomous vehicles, healthcare systems, video surveillance systems, ..etc. The fast increase in the Internet of Things (IoT)
Sarah Ammar Rafea , Ammar Dawood Jasim
doaj +1 more source
A LIGHTWEIGHT MULTI-PERSON POSE ESTIMATION SCHEME BASED ON JETSON NANO [PDF]
As the basic technology of human action recognition, pose estimation is attracting more and more researchers' attention, while edge application scenarios pose a higher challenge.
Lei LIU +2 more
doaj +1 more source
Artificial Intelligence for Edge Service Optimization in Internet of Vehicles: A Survey
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of its powerful capability of collecting real-time information.
Xiaolong Xu +5 more
doaj +1 more source

