Bringing machine learning (ML) to all forms of devices has been the key in enabling distributed intelligence. Artificial Intelligence (AI) vendors, including Arm, Qualcomm, and Google, have introduced solutions that allows application developers to overcome the restricted nature of battery-powered sensors and embedded modules which operate on low computational resources offered by general-purpose microcontrollers. However, the market is extremely fragmented due to the wide range of devices and applications. Qualcomm’s TinyML portfolio, which features hardware and software offerings, could be an answer for this.
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