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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.
