Current Status of TinyML and the Enormous Opportunities Ahead - Panel Discussion

Explore the current state and future potential of tinyML in this Stanford seminar panel discussion featuring Dr. Evgeni Gousev from Qualcomm Research and Pete Warden from Google. Delve into the challenges, applications, and emerging trends in ultra-low power embedded computing and machine learning for edge devices. Learn about the importance of data in tinyML, privacy considerations, and real-world examples of tinyML applications such as person detection and gesture recognition. Gain insights into the TensorFlow mobile and embedded team's work, and hear expert advice for businesses looking to leverage tinyML technologies. Discover the latest announcements in the tinyML community and understand how communication technologies are shaping the future of this rapidly evolving field.

Introduction
Agenda
Challenges
What is tinyML
Data is new oil
Applications
What we learned
What we see coming
Examples
Privacy
Is it owned by Qualcomm
Sensors
Gyrus
Announcements
Sponsors
TinyML Community
Pete Worden
Annie Lee
Recap
Tensorflow
Machine Learning
Person Detection
Gesture Recognition
Future of tinyML
Advice to business people
Questions
Communication Technologies