On-Device AI Development
Developers are increasingly interested in leveraging AI for their applications, but the approach can vary significantly based on their platform. With tools like mobile TensorFlow, the question arises: do developers need to optimize for on-device AI, or can they rely on frameworks to handle the complexities? Insights reveal the balance between harnessing hardware capabilities and the transparency offered by modern development frameworks.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AI at the Edge at Qualcomm with Gary Brotman - TWiML Talk #223
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