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Podcast: Software Engineering Daily
Episode: Edge Machine Learning with Zach Shelby
Description: Devices on the edge are becoming more useful with improvements in the machine learning ecosystem. TensorFlow Lite allows machine learning models to run on microcontrollers and other devices with only kilobytes of memory. Microcontrollers are very low-cost, tiny computational devices. They are cheap, and they are everywhere.The low-energy embedded systems community and the machine learning community have come together with a collaborative effort called tinyML. tinyML represents the improvements of microcontrollers, lighter weight frameworks, better deployment mechanisms, and greater power efficiency. Zach Shelby is the CEO of EdgeImpulse, a company that makes a platform c...