Future Trends

On-device Federated Personalization: The Future of Privacy-First AI in Embedded Systems Embedded systems have long been the backbone of countless smart devices, from wearables to industrial equipment. As AI integration deepens, we stand

Multi-modal Sensor Model Integration: Pioneering Intelligent Embedded Systems In the evolving landscape of embedded systems, the convergence of multiple sensor modalities is unlocking unprecedented possibilities. Multi-modal sensor model integration involves combining data streams

Tiny NLP and On-Device Keyword Completion: Revolutionizing Intelligent Edge Systems As embedded systems evolve, the integration of advanced AI techniques into resource-constrained devices marks a turning point for technology at the edge. Tiny

Optimizing Intelligence at the Edge As embedded systems evolve into the brains of next-generation devices, Edge AI has emerged as a pivotal technology driving real-time decision-making closer to the data source. Benchmarking in

Revolutionizing Embedded Systems with AI Model Rollouts in the Field As embedded systems evolve, integrating AI directly into field devices has become a game-changer for industries ranging from manufacturing to smart cities. One