Embedded AI on L-Series cores – Technical paper Neural Networks Empowered by Custom Instructions
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Over the last few years there has been an important shift from cloud-level to device-level AI processing. The ability to run AI/ML tasks becomes a must-have when selecting an SoC or MCU for IoT and IIoT applications.
Embedded devices are typically resource-constrained, making it difficult to run AI algorithms on embedded platforms. This paper looks at what could make it easier from a software and hardware point of view and how Codasip tools and IP help with that.