Machine learning (ML) technology is expanding rapidly to impact all markets, including the deeply embedded space. It is expected that AI-enabled IoT shipments will grow at a rapid rate in the coming years. New applications, including voice assistants, medical diagnosis and treatment equipment, are possible due to the progress made in the field of neural networks, however, they are also placing an ever-increasing demand on processing capabilities at the endpoint. Arm provides an unmatched solution to this problem by accelerating ML workloads on existing Arm Cortex-M based systems. Arm Cortex-M55 processor, Ethos-U55 microNPU and Arm’s industry-leading embedded ecosystem of software libraries and tools can accelerate ML workloads through the use of optimized libraries provided within CMSIS-NN to increase signal processing performance for the next generation of IoT and embedded devices.
Download the report to learn how to optimize the flow for efficient neural network processing and increase ML performance with Arm’s AI platform.