How do embedded systems enhance machine learning applications?
Machine learning applications benefit from embedded systems' reduced latency, real-time data processing, and effective resource use. When combined with sensors and microcontrollers, these specialized computer systems allow ML models to be deployed directly on devices. Without depending on cloud connectivity, quick decision-making and action are made possible by this edge computing capacity. Furthermore, embedded systems enhance power efficiency and boost the dependability of machine learning applications in demanding settings like industrial automation, healthcare, and automobiles. If you want to become an expert in this field, you might think about taking an embedded system certification course.
Enroll: https://www.theiotacademy.co/embedded-systems-training