2min chapter

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127. Matthew Stewart - The emerging world of ML sensors

Towards Data Science

CHAPTER

Logical Separation of Memory in ML Sensors

The current way right now is there is the machine learning and the processing they're coupled together. What we would prefer is that there is this sort of separation of computation so in traditional memory architectures you have a concept of user space and kernel space. We've said okay well what if we put had a sensor here which had some sort of processing power on it that was interacting with the raw data itself? And then it sends information to the actual processor which then performs additional functions.

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