tinyML Summit 2023: A perspective on the trajectory from custom intelligent sensors to broad...

A perspective on the trajectory from custom intelligent sensors to broad market adoption of smart platforms Al HESHMATI, VP of Systems and Software, TDK USA While not always visible or appreciated by the end consumer users, there are already some good examples of intelligent use of sensors enabled by edge AI, utilizing machine learning techniques. We also see some examples of ML solutions deployed in industrial applications, including Condition Based Monitoring, quality control automation, and factory digitization. These solutions tend to be developed by teams including domain experts, sensor experts, data scientists and Machine Learning engineers. Depending on the application, it may also require close collaboration with HW/Silicon designers and platform SW developers. While this is reasonable for well-defined applications and by large companies with significant resources who can assemble such multi-disciplinary teams, it’s not practical for wide range of emerging applications. In this session, TDK, an industry-leading sensor provider to the IoT/tinyML community, shares its perspective on the trajectory for widespread adoption. To enable broad market adoption and scaling, requires supporting the ecosystem with the level of integration at good cost/size/power that can be used to quickly enable new applications. The smart platforms including sensors, connectivity, processing, and power are common requirements for many IOT applications. Many sensor vendors, including...