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I did look at the paper too so not sure why you need to just re-post an excerpt, and that is basically what I said. Like they said more than half of the familie
by anfilt 5y ago
I did look at the paper too so not sure why you need to just re-post an excerpt, and that is basically what I said. Like they said more than half of the families of algorithms they looked at basically are at a stand still.
- DennisP 5y agoI mean, of course you're not going to do much better at sorting, for example. But things like machine learning and optimization are advancing at a rapid pace, and I'm not sure I would characterize them as "open problems that no one is sure on yet." Unless you just want to apply that characterization to anything that's still improving, which would be a bit of a tautology.