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That's not redefining the problem, so much as applying a new technology to solve the same problem. Usually using the flashy new technology decreases reliability due to immature tooling, lack of testing, and just general lack of knowledge of the new approach.

Also deep learning, while incredibly powerful and useful, is not the magic cure-all to all of computer vision's problems and I have personally seen upper management's misguided belief in this ruin a company (by which I mean they can no longer retain senior staff, they have never once hit a deadline, every single one of their metrics is not where they want it to be, and a bunch of other stuff I can't say without breaking anonymity).




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