Results 11 to 20 of about 95,408 (180)

Energy-Efficient Intelligence Sharing in Intelligence Networking-Empowered Edge Computing: A Deep Reinforcement Learning Approach

IEEE Access
Advanced artificial intelligence (AI) and multi-access edge computing (MEC) technologies facilitate the development of edge intelligence, enabling the intelligence learned from remote cloud to network edge.
Junfeng Xie, Qingmin Jia, Youxing Chen
doaj   +2 more sources

Edge Intelligence - Edge Computing and Artificial Intelligence

, 2020
With the advent of Edge Computing and the coming of age of Artificial Intelligence, there is a strong demand to integrate Edge Computing and AI, which gives birth to Edge Intelligence.
Dustdar, Schahram
core   +5 more sources

Towards a Decentralized Collaborative Framework for Scalable Edge AI

Future Internet
Nowadays, Edge Intelligence has seen unprecedented growth in most of our daily life applications. Traditionally, most applications required significant efforts into data collection for data-driven analytics, raising privacy concerns. The proliferation of
Ahmed M. Abdelmoniem , Mona Jaber , Ali Anwar , Yuchao Zhang , Mingliang Gao    +4 more
doaj   +2 more sources

Deploying AI on Edge: Advancement and Challenges in Edge Intelligence

Mathematics
In recent years, artificial intelligence (AI) has achieved significant progress and remarkable advancements across various disciplines, including biology, computer science, and industry. However, the increasing complexity of AI network structures and the
Tianyu Wang, Jinyang Guo, Bowen Zhang, Ge Yang, Dong Li   +4 more
doaj   +2 more sources

Edge Intelligence - Edge Computing and Artificial Intelligence

, 2021
With the advent of Edge Computing and the coming of age of Artificial Intelligence, there is a strong demand to integrate Edge Computing and AI, which gives birth to Edge Intelligence.
Dustdar, Schahram
core   +3 more sources

Edge AI LoRa Mesh Technologies [PDF]

, 2023
Intelligent connectivity at the edge combines wireless communication, edge artificial intelligence (AI), edge computing and internet of things (IoT) technologies to perform machine learning (ML) and deep learning (DL) on connected edge devices.
Vermesan, Ovidiu, Judvaitis, Janis, Sand, Hans-Erik, Gaigals, Gatis, Coppola, Marcello, Conrady, Cordula, Karlsen, Tore, Bahr, Roy, vorm Walde, Kai   +8 more
core   +3 more sources

Research on Industrial Internet Platform Architecture and Application based on Edge Intelligence 2.0

Guangtongxin yanjiu, 2021
Edge intelligence is the combination of Artificial Intelligence (AI) and edge computing, which can meet the key requirements of digital industry in real-time business, data optimization and intelligence application etc.
Wei LIU, Wei ZHANG
doaj   +1 more source

Workload Characteristics Based Performance Optimization for Edge Intelligence [PDF]

Jisuanji kexue, 2022
Edge intelligence refers to a form of service that uses artificial intelligence algorithms to provide data analysis capabilities for network edge devices.However,the edge computing environment is more complex and changeable than cloud computing.There are
HU Zhao-xia, HU Hai-zhou, JIANG Cong-fengand WAN Jian
doaj   +1 more source

Machine Intelligence at the Edge [PDF]

IEEE Design & Test, 2021
In this issue, we cover machine learning approaches for deployment at the edge. It is a continuation of a series of special issues that started more than five years ago when the magazine began to cover “systems of systems.”
openaire   +1 more source

Urban Intelligence With Deep Edges [PDF]

IEEE Access, 2020
With the increased accuracy available from state of the art deep learning models and new embedded devices at the edge of the network capable of running and updating these models there is potential for urban intelligence at the edge of the network. The physical proximity of these edge devices will allow for intelligent reasoning one hop away from data ...
Gary White, Siobhán Clarke
openaire   +4 more sources