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For Really Low Power Neural Networks Try Spiking Neural Networks
Spiking neural networks (SNN), also known as neuromorphic computing, are one way to implement artificial intelligence/machine learning models. It has significant advantages over the more popular digital deep neural networks (DNN) like convolutional neural networks (CNN), including very low power operation.
Innatera’s CEO, Sumeet Kumar, taks about how the company's new, ultra low power microcontroller can provide always-on (AON) SNN support in battery power- or energy harvesting-based applications.
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By Endeavor Business MediaSpiking neural networks (SNN), also known as neuromorphic computing, are one way to implement artificial intelligence/machine learning models. It has significant advantages over the more popular digital deep neural networks (DNN) like convolutional neural networks (CNN), including very low power operation.
Innatera’s CEO, Sumeet Kumar, taks about how the company's new, ultra low power microcontroller can provide always-on (AON) SNN support in battery power- or energy harvesting-based applications.