Abstract: Traditional microcontroller-based control systems increasingly face limitations due to their restricted capabilities and lack of parallel processing, creating bottlenecks in real-time energy ...
An apparent slowdown in hiring suggests the Fed may have acted a little prematurely in downplaying the risks to the jobs aspect of its mandate at the January FOMC meeting. Major downward revisions to ...
Abstract: Training deep/convolutional neural networks (DNNs/CNNs) requires a large amount of memory and iterative computation, which necessitates speedup and energy reduction, especially for edge ...
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