Sensors and Machine Learning: Waking Smarter for Less

Explore the intersection of sensors and machine learning at the edge in this tinyML Summit 2022 talk. Delve into how ML is driving innovation in converting physical phenomena into digital signals and optimizing data transmission. Learn about balancing hardware and software design in edge nodes to improve accuracy and power conservation. Discover new opportunities for partitioning sensor systems and reducing resource requirements through machine learning. Examine real-world examples of systemic optimization, including phased wake-up hierarchies that enhance system response while minimizing resource consumption. Gain insights into applications ranging from personal devices to robotics and keyword spotting, and understand the potential of ML in creating smarter, more efficient sensor systems.