Results 221 to 230 of about 691,705 (263)
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2019
Innovating maintenance is crucial for the competitiveness of the European manufacturing, pressured to increase flexibility and efficiency while reducing costs. Initiatives related to Industrie 4.0 have been showing the potential of using advanced/pervasive sensing, big data analytics and cloud-based services.
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Innovating maintenance is crucial for the competitiveness of the European manufacturing, pressured to increase flexibility and efficiency while reducing costs. Initiatives related to Industrie 4.0 have been showing the potential of using advanced/pervasive sensing, big data analytics and cloud-based services.
openaire +1 more source
The rapidly growing amount of data produced by Internet of Things (IoT) devices, gadgets, and handheld tools has made edge computing an essential resource. This chapter explores how businesses can use smart edges to access real-time data, reduce latency, and make better-informed decisions.
Rinki Singh, Tarun Kumar, null Minakshi
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Rinki Singh, Tarun Kumar, null Minakshi
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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
Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey
IEEE Communications Surveys and Tutorials, 2023Sijing Duan, Dan Wang, Ju Ren
exaly
Integrating Edge Intelligence and Blockchain: What, Why, and How
IEEE Communications Surveys and Tutorials, 2022Xiaofei Wang, Xiaoxu Ren, Chao Qiu
exaly