Tiny machine learning (TinyML) is an embedded software technology that can be used to build low power consuming devices to run machine learning models. It is also more famously referred to as the missing link between device intelligence and edge hardware. It makes computing at edge cheaper, less expensive, and more stable. Further, TinyML also facilitates improved response time, privacy, and low energy cost.

TinyML is massively growing in popularity with every passing year. As per ABI Research, a global tech market advisory firm, by 2030, about 230 billion devices will be shipped with TinyML chipset.

TinyML has the ability to provide a range of applications, from imagery micro-satellite, wildfire detection, and for identifying crop ailments and animal illness. Another area of application that is drawing great attention is its application in IoT devices.

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