Embedded World 2021: TinyML for AI at the Very, Very Edge

Advances in ultra-low power hardware architectures, semiconductor process technologies, and AI algorithms have enabled TinyML – a new class of ML on tiny microcontrollers.

TinyML has enabled use cases such as predictive maintenance, anomaly detection, and ultra-low power audio or video recognition on devices in the sub-10mW power envelope.

We will look at the TinyML framework, its architecture, and how we can build low power audio deep neural networks (DNNs) and video convolutional neural networks (CNNs) using TensorFlow Lite on FreeRTOS-based microcontrollers. We will then discuss challenges and opportunities crucial for this technology to be scalable and deployable in real-world scenarios.

Learn more at http://bit.ly/30SIpjv

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Видео Embedded World 2021: TinyML for AI at the Very, Very Edge канала AWS Events