Image recognition requires AI. It used to be believed that it was simple. A famous AI researcher in the 50's once sent a bunch of grad students to solve it over the summer. They then started to realize just how complex and impossible the task was.
60 years later, we have finally made general purpose learning algorithms, vaguely inspired by the brain, which are just powerful enough to do it. And because they are general purpose, they can also do many other things as well. Everything from speech recognition, to translating sentences, or even controlling robots. Image recognition is just one of many benchmarks that can be used to measure progress.
I do find it inspiring. I studied neural networks at CMU and at Toronto. But if you look at the false positives that these CNN architectures generate, you'll have to agree that there is no "intelligence" present.
60 years later, we have finally made general purpose learning algorithms, vaguely inspired by the brain, which are just powerful enough to do it. And because they are general purpose, they can also do many other things as well. Everything from speech recognition, to translating sentences, or even controlling robots. Image recognition is just one of many benchmarks that can be used to measure progress.
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