Offline Deep Learning
The conversation delves into the complexities of performing weak detection on devices with limited computational resources, emphasizing the need for offline processing to protect user privacy. Developers face the challenge of implementing deep learning techniques on inexpensive hardware, such as Bluetooth speakers, while minimizing false alarms. The discussion highlights the lack of community solutions prior to the introduction of Snowboy, which aims to provide a more nuanced approach to device interaction.In this clip
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The AI Podcast
Ep. 22: Kitt.ai Co-Founder on How AI Lets Us Talk with Our Machines
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