MACHINE LEARNING (ML) has taken the developer community by storm, but implementing many algorithms with any efficiency have required FPGAs, multicore CPUs, or high-performance GPGPUs. Though developers have used ML on microcontrollers, the ML models are more limited. ML performance on these smaller conventional platforms is also a bit slower-useful but not capable of handling more ambitious projects. This is about to change with Arm's announcement of the Cortex-M55 and the Ethos-U55. The Cortex-M55 can be used alone as it has its own ML augmentation. The Ethos-U55 can be added if ML applications are especially demanding. It could be paired with other Cortex-M platforms, too, but it will make more sense to be matched with the Cortex-M55, allowing ML support to be distributed.
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