Abstract
Investigators publish new report on artificial intelligence. According to news originating from Gliwice, Poland, by NewsRx editors, the research stated, “In recent years, we have been observing the rapid growth and adoption of IoT-based systems, enhancing multiple areas of our lives.” The news correspondents obtained a quote from the research from Silesian University of Technology: “Concurrently, the utilization of machine learning techniques has surged, often for similar use cases as those seen in IoT systems. In this survey, we aim to focus on the combination of machine learning and the edge computing paradigm. The presented research commences with the topic of edge computing, its benefits, such as reduced data transmission, improved scalability, and reduced latency, as well as the challenges associated with this computing paradigm, like energy consumption, constrained devices, security, and device fleet management. It then presents the motivations behind the combination of machine learning and edge computing, such as the availability of more powerful edge devices, improving data privacy, reducing latency, or lowering reliance on centralized services. Then, it describes several edge computing platforms, with a focus on their capability to enable edge intelligence workflows.”
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