TinyML is proof that good things come in small packages. Instead of running complex machine learning (ML) models in the cloud, on large, power-hungry computers, this new approach involves running optimized models for pattern recognition in endpoint devices, on microcontrollers no bigger than a grain of rice consuming only milliwatts of power.

Hear Alessandro Grande, Developer Advocate and Ecosystem Manager at Arm give an introduction and overview to TinyML.

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For more on TinyML, check out our latest Arm BluePrint blog: [ Ссылка ]
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