Edge AI is rapidly evolving as a transformative technology that is deploying artificial intelligence capabilities closer to the source. By processing information in real time at the Activity recognition MCU network's edge, Edge AI enables real-time responses, minimizing latency and optimizing overall system performance. Use Cases of Edge AI inclu

Edge AI represents a paradigm shift in artificial intelligence, relocating computation and intelligence to peripheral devices. This revolutionary approach enables real-time decision-making at the source of data generation, offering significant advantages over traditional cloud-based AI systems. By interpreting data locally, Edge AI reduces latency

The realm of artificial intelligence is transforming at an unprecedented pace. With the surge in data generation and the demand for real-time insights, a paradigm shift is occurring – the rise of Edge AI. This decentralized approach to AI processing brings intelligence closer to the source of data, enabling faster decision-making, reduced latency