Microcontroller Units
PulseAugur coverage of Microcontroller Units — every cluster mentioning Microcontroller Units across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New method optimizes deep neural networks for intermittent learning on microcontrollers
Researchers have developed a method to optimize deep neural networks (DNNs) for intermittent learning on microcontrollers, particularly for energy-harvesting systems. This approach uses a hardware-aware energy predictio…
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New AdaCTSi method improves time series imputation for IoT environments
Researchers have developed AdaCTSi, a novel method for imputing missing values in correlated time series data, particularly for Internet of Things (IoT) applications. Unlike previous methods, AdaCTSi is designed to adap…
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New Receptron model offers hardware-aware edge intelligence for IoT
Researchers have developed a novel neuromorphic-inspired classifier called the Receptron model, designed to overcome the computational and memory limitations of microcontroller units (MCUs) for edge intelligence in IoT …
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PrototypeNAS accelerates DNN design for microcontrollers
Researchers have developed PrototypeNAS, a novel zero-shot neural architecture search method designed to rapidly create efficient deep neural networks (DNNs) for microcontroller units (MCUs). This method automates the s…
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TinyDéjàVu framework slashes microcontroller RAM usage for neural networks
A new framework called TinyDéjàVu has been developed to significantly reduce the RAM requirements for neural network inference on microcontrollers. This framework can decrease RAM usage by up to 90% while maintaining si…
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Power management ICs face price hikes amid rising semiconductor costs
The semiconductor industry is experiencing a price increase for power management ICs, driven by rising costs in wafer fabrication and packaging rather than strong consumer demand. This follows similar price hikes for MC…