Results 21 to 30 of about 93,163 (295)
Ultra-low power car plate recognition at the edge [PDF]
, 2023 So far, only a few edge devices include AI accelerators that are capable of processing inference at minimal power consumption. As an example, the MAX78002 provides a 2Mbytes CNN engine and an Arm Cortex-M4 with 384KB of SRAM.
Isztl, Dávid, Rosenthal, Matthias
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An evolutionary edge computing architecture for beyond 5G era [PDF]
, 2023 Beyond 5G (B5G) communication networks face the challenge of meeting the demanding requirements of various service types, including uRLLC, mIoT, eMBB, and emerging technologies like Extended Reality (XR).
Kartsakli, Elli +16 more
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AI Workload Allocation Methods for Edge-Cloud Computing: A Review
Al-Iraqia Journal for Scientific Engineering Research, 2023 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
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AERO: AI-Enabled Remote Sensing Observation with Onboard Edge Computing in UAVs [PDF]
, 2023 Unmanned aerial vehicles (UAVs) equipped with computer vision capabilities have been widely utilized in several remote sensing applications, such as precision agriculture, environmental monitoring, and surveillance. However, the commercial usage of these
Anis Koubaa +4 more
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Edge AI Deploying Artificial Intelligence Models on Edge Devices for Real-Time Analytics [PDF]
ITM Web of ConferencesBecause of its on-the-go nature, edge AI has gained popularity, allowing for realtime analytics by deploying artificial intelligence models onto edge devices.
Choudhary Sagar +5 more
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, 2023 <p>ASCAPE Edge AI Models Manager oversees the deployment and lifecycle of AI models on edge nodes, optimizing resource allocation and ensuring seamless updates.
Mihailo Ilić, Marko Otlokan
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Edge AI for Smart Cities: Foundations, Challenges, and Opportunities
Smart CitiesSmart cities seek to improve urban living by embedding advanced technologies into infrastructures, services, and governance. Edge Artificial Intelligence (Edge AI) has emerged as a critical enabler by moving computation and learning closer to data ...
Krishna Sruthi Velaga, Yifan Guo, Wei Yu
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Edge AI for Transforming Autonomous Systems and Telecommunications for Enhanced Efficiency and Responsiveness [PDF]
Iranian Journal of Information Processing & ManagementBackground: Enabling Edge Artificial Intelligence (Edge AI) to be implemented in autonomous systems and telecommunications can offer for improved real-time data, non-recurring latency, enhanced operational proficiency.
Maan Hameed +4 more
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Guest Editorial: Blockchain and AI Enabled 5G Mobile Edge Computing (Editorial) [PDF]
, 2020 Big data is generally captured by sensor networks in various industrial and manufacturing sectors; this big data is transmitted by mobile devices and Internet of Things (IoT) devices through the 5G mobile networks.
Chan, Kit Yan +3 more
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BrainyEdge: An AI-enabled framework for IoT edge computing
ICT Express, 2023 Along with the proliferation of the Internet of Things (IoT) and the surge in the use of artificial intelligence (AI), Edge Computing has proved considerable success in reducing latency, network traffic consumption, and security risks. The convergence of
Kim-Hung Le +2 more
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