Going further into 2024, the machine learning field is moving incredibly fast. One of the most noticeable trends of the year is the development of Tiny Machine Learning (TinyML), which has a vital influence on this technology. In a universe where IoT (Internet of Things) devices, wearables, and sensors are all over, TinyML is revolutionizing how we view information processingfulness and intelligence.
What is TinyML?
TinyML, in short, refers to developing machine learning models on microcontrollers, sensors, or other devices that are not high power. Instead of the common ML models which rely on powerful hardware and Cloud resources, TinyML can be the answer, it could potentially improve latency and energy efficiency by offloading some of the real-time processing and decision making from the Cloud to the devices that initiate the work.
The year 2024 has seen TinyML make a surge in popularity as the driving industries have come to appreciate the demand for more efficient solutions that can save power and can be used in such diverse areas as healthcare, agriculture, and industrial automation.
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