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Daniel Situnayake: AI on the Edge
The Gradient: Perspectives on AI
How to Architect Models to Work Well With Hardware
The next step as you mentioned is how do we start thinking about the way that we architect models so that they work well with hardware. And typically people have been using architectures that were created to run on mobile phones. So there's this very real sense where you're potentially needing to fit your model to the hardware itself. The other big thing that comes in that I haven't really touched on yet is digital signal processing, which is essentially feature engineering for sensor data. That's a massive thing too, which we can kind of dive into separately.
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