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This was one of my professors favorite gripes. He loved to tell stories about how companies would reinvent algorithms (usually multiple times) that had been pub
by fhood 9y ago
This was one of my professors favorite gripes. He loved to tell stories about how companies would reinvent algorithms (usually multiple times) that had been published in the 70's and 80's
- zvrba 9y agoThe problem here is search. The problem may have been solved, but finding the relevant paper is like looking for a needle in the haystack. It doesn't help that terminology has changed during the years...
- mrec 9y ago> It doesn't help that terminology has changed during the years... As has hardware. Trivial example, but linked lists made a lot more sense in the 1970s than they do today.
- tj-teej 9y agoThe problem with the solution to the problem of search is searching for the solution to the problem of search?
- acuozzo 9y ago> The problem here is search. And training. I've had to reinvent algorithms I know already exist for my hobby work because they were invented to solve another unrelated problem I'm not familiar with and phrased using domain language I don't know.
- BjoernKW 9y agoApart from making information easily retrievable, which ironically academia at least used to be notoriously bad at, inventing an algorithm and using it effectively in an application in many cases are two very different matters. These arguments often get handwavy rather quickly. Real-life applications have to accommodate edge cases and non-functional requirements, something a scientific paper doesn't need to account for. That's perfectly fine. It isn't a scientist's job to worry about implementation details but those shouldn't be brushed off lightly either.