Session

DescriptionTiny Machine learning (TinyML) is an increasingly growing field that enables intelligent algorithms on tiny edge devices with extremely limited resources. The advances of TinyML have opened up new opportunities for designing smart applications ranging from medical care devices, environmental monitoring, to critical infrastructure monitoring and protection by embedding intelligence into ubiquitous devices and performing on-device sensor data analytics and decision making. This session features three experts from academia and industry in the field of TinyML with expertise on intelligent sensors, hardware/software codesign frameworks, and chip design for tiny machine learning system. The challenges in on-device intelligence, open research opportunities, and emerging applications will be highlighted in the domain of TinyML.