From Theory to Practice: Implementing Machine Learning in Embedded Devices

In this white paper, we discuss the current trends shaping AI and ML on embedded devices and explore the potential that lies within these powerful technologies. We cover both software and hardware aspects, highlighting the cutting-edge advancements that are revolutionizing this field, and showcase the primary advantages and use cases that make embedded solutions a game-changer in the world of technology.

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