TinyML could democratize AI programming for IoT
Much of the development in machine language (ML) implementations follows a “bigger is better” path: more data, more storage, more compute power, more bandwidth all equals better results – or so the mantra goes. But a community-based effort is moving in the opposite direction, building “TinyML” implementations for use on low-powered devices with scarce computer […]
