bacr
Joined 14 years ago
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Joined 14 years ago
And this is very much already a vetted approach. They use photonics circuits to implement random projections, which can be used to speed up t linear algebra in modern ML workflows. It’s no magic monocle, rather a pretty interesting co-processor racked away in some data center.
Most pre- and post- processing (with the exception of visualization) should probably be a part of your model!
That’s not to say it isn’t sensible social policy. It is less disruptive to people who have lived there for a long time. But if you move for work, you will have to either pay a lot more than you would have in 2011, or get lucky.