The proliferation of smart devices has propelled a surge in data generation and processing demands. To address this challenge, Edge AI emerges as TinyML applications a transformative paradigm, bringing computation power and models closer to the origin. This decentralized approach empowers devices at the network's edge to perform real-time processin

The perimeter of intelligence is rapidly evolving as computing power migrates to the edge. This distributed paradigm empowers applications with real-time understanding, enabling a {novel set of opportunities. From industrial automation, the ability to interpret data locally unlocks unprecedented efficiency. Harnessing cutting-edge models Fine-tun