SE Radio 660: Pete Warden on TinyML
Software Engineering Radio - the podcast for professional software developers
Balancing Accuracy and Privacy in On-Device Machine Learning
This chapter explores the operation of compact machine learning models for audio keyword detection, emphasizing the importance of responsiveness and managing false positives. It also discusses the benefits of local processing, including improved privacy and reduced latency, while highlighting the shift away from cloud dependency.
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