Sensors Converge 2025

As devices evolve to become more intelligent and context-aware, ML-driven sensor fusion is a critical enabler for efficient, accurate data interpretation at the Edge. This session will explore the architecture and applications of ultra-low-power Edge AI chips optimized for ML-based sensor fusion, empowering devices to make real-time decisions with minimal energy consumption. Attendees will gain insights into hardware-software co-design for fusing data from multiple sensors, overcoming common challenges in sensor fusion at the Edge, and how these solutions unlock new potential for applications in smart wearables, IoT, and industrial monitoring.