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Another field is being upended by deep learning methods, that's what happened. A small team from DeepMind with mainly AI/ML expertise won first place at a prom
by cs702 8y ago
Another field is being upended by deep learning methods, that's what happened.
A small team from DeepMind with mainly AI/ML expertise won first place at a prominent academic competition, besting teams of experts by a surprising margin.
Academics who have invested a lifetime studying and working on the problem are suddenly wondering if their skills and experience are at risk of becoming less relevant. They're wondering, how could a bunch of neophytes pull this off? Is this just the opening salvo?
A natural reaction will be to dismiss this as "nothing new, just better engineering and clever hacking with more resources." Another reaction will be to dismiss deep learning techniques as "curve-fitting without insight."
Such dismissals are misguided in my view. Judging by how quickly deep learning methods have become the dominant approach for producing state-of-the-art results in other fields, I would expect the same thing to happen in this field.
- bluGill 8y agoComputers have ALWAYS been about solving problems. I have long told others that when going into computer science type fields that you should get a double major (or at least a minor) in some other field because you are most useful when you can take your computer knowledge and apply it to some completely different field. I didn't take my own advice... My career has been about learning other fields to apply computers to it, and it has been a very interesting journey. Note fields is plural there, I have not stayed in the same industry (I think this means something but I don't know what)