- Start Time:11:15AM
- End Time:11:45AM
- Day:Day 1
- Advances in silicon and deep learning are enabling embedded machine learning (TinyML) to be deployed where data is born, from industrial sensors to audio and vision.
- Dive into the architecture of TinyML and how the cloud and edge work together in unison
- See selected case studies on how machine learning at the edge is unlocking new value for customers in predictive maintenance, asset tracking, and human interfaces
- Hear how machine learning will enable personalization, the super power of adapting to customers and users