Driven by a need to overcome cloud overhead in latency and bandwidth and a demand for more local processing, edge computing is poised to enable billions of new IoT end-points and real-time local artificial intelligence/machine learning (AI/ML) for autonomous systems. Edge computing allows smart applications and devices to respond to data almost instantaneously, as it is being created, eliminating lag time, which is critical for technologies like self-driving cars.
IEEE Introduction to Edge Computing, a five-course program, is designed for organizations investing heavily in edge. Online and on-demand, train your entire technical team to support this technology.
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Harmonic Stability in Power Electronic Based Power Systems: Concept, Modeling, and Analysis
Extra Clocking of LFSR Seeds for Improved Path Delay Fault Coverage
Performance Enhancement of Edge-AI-Inference Using Commodity MRAM: IoT Case Study
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