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Daniel Situnayake: AI on the Edge
The Gradient: Perspectives on AI
The Future of Engineering for Edge AI
The future engineering for ed systems looks quite different than how it does for NLP systems. There are lots of questions about fairness, and I think that the discourse over this has become a little bit tiring,. But there's not necessarily an easy way to say, oh, use this algorithm. It's proven to work for most stuff. So we have to be really careful about not excluding things. If we exclude certain frequencies, and then the machine develops a new fault, then our fault detection becomes an even bigger problem.
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