*Result*: Cortex-M4 programming aid eases AI-at-the-edge.
*Further Information*
*The article focuses on the collaboration between Analog Devices (ADI) and Antmicro to enhance AI capabilities at the edge using ADI's Cortex-M4 microcontrollers. Antmicro's Kenning machine learning library, integrated with a Visual Studio Code plug-in, aims to simplify the deployment of deep learning models by providing a unified API that allows developers to easily switch target platforms with minimal code changes. ADI's implementation, termed 'AutoML for Embedded,' is incorporated into Analog's CodeFusion Studio, supporting the MAX78002 and MAX32690 microcontrollers. The tool optimizes model selection based on dataset compatibility and provides reports on model performance to assist in deployment decisions. [Extracted from the article]
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