Results 211 to 220 of about 80,765 (249)
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FerroElectronics for Edge Intelligence
IEEE Micro, 2020The future data-centric world demands edge intelligence (EI) - the ability to analyze data locally and to decide on a course of action autonomously. Challenges with Moore's Law scaling and limitations of von Neumann computing architectures are limiting the performance and energy efficiency of conventional electronics.
Ali Keshavarzi +4 more
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Edge Intelligence in Intelligent Transportation Systems: A Survey
IEEE Transactions on Intelligent Transportation Systems, 2023Tao Tang, F Richard Yu, Li Zhu
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Social Edge Intelligence: Integrating Human and Artificial Intelligence at the Edge
2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019In this vision paper, we propose a new concept, "Social Edge Intelligence (SEI)", where the artificial intelligence (AI) and human intelligence (HI) are tightly integrated to address a set of critical research challenges in edge computing applications.
Dong Wang 0002 +5 more
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The Engineer, 2023
Digitisation across multiple sectors is putting Analog Devices Inc at the forefront of connecting the digital and physical worlds. Jason Ford spoke to ADI’s Martin Cotter about how the company is evolving to maintain its leading position.
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Digitisation across multiple sectors is putting Analog Devices Inc at the forefront of connecting the digital and physical worlds. Jason Ford spoke to ADI’s Martin Cotter about how the company is evolving to maintain its leading position.
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Proceedings of the 2019 Great Lakes Symposium on VLSI, 2019
Machine learning methods have exploded in the past half-dozen years. Machine learning is being applied to a huge range of problems across the spectrum of applications. Initial results relied on server-oriented computations. But many applications will require deploying aspects of machine learning throughout the network hierarchy.
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Machine learning methods have exploded in the past half-dozen years. Machine learning is being applied to a huge range of problems across the spectrum of applications. Initial results relied on server-oriented computations. But many applications will require deploying aspects of machine learning throughout the network hierarchy.
openaire +1 more source
Bring Intelligence among Edges: A Blockchain-Assisted Edge Intelligence Approach
GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020The revolutions of computing and communication have opened up demands for the high quality of service (QoS), such as high data transmission, high reliability, and low latency. These new opportunities have spawned numerous studies on edge computing and artificial intelligence (AI), even the cooperation between them, referred to as edge intelligence ...
Chao Qiu +5 more
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Edge Intelligence: A Robust Reinforcement of Edge Computing and Artificial Intelligence
2021Due to the development of faster and improved modes of communication, technologies, as well as customers, get benefited. The world is moving rapidly toward digitization, and connectivity has been placed under tremendous pressure. The development and implementation of IoT devices benefit all industry sectors, stimulating more areas in terms of ...
Brinda Parekh, Kiran Amin
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Edge Intelligence: Challenges and Opportunities
2020 International Conference on Computer, Information and Telecommunication Systems (CITS), 2020With the development of edge computing and AI technology, how to run AI applications on the edge of network in a more efficient and effective way has become a new research hotspot. Edge intelligence, the next stage of edge computing, is a research field closely integrated with industrial scenario.
Haizhou Hu, Congfeng Jiang
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Boosting Edge Intelligence With Collaborative Cross-Edge Analytics
IEEE Internet of Things Journal, 2021Edge intelligence is emerging as a new interdiscipline to accelerate the convergence of artificial intelligence (AI) and Internet of Things (IoT). By applying edge computing, edge intelligence enables resource-limited IoT devices to offload computation-intensive AI applications to the network edge for execution.
Hai Jin 0001, Lin Jia, Zhi Zhou 0006
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Intelligent security on the edge of the cloud
2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2017Edge or Fog computing is a relatively new architectural deployment model, ideally fit for the unique requirements of the Internet of Things. This paper presents a novel solution, which leverages the architectural characteristics of edge computing for security reasons.
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