To be able to do research, you have to spend ~$1500 amortized over 1-2 years. And AI hardware is improving much faster than Moore's law.https://twitter.com/NandoDF/status/782276800038727680 …
Hardware is the least of our worries. Having high quality open datasets in areas that matter is vastly more important issue.
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remind me where you work?
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if you cannot process a data set, it's actually important. Even at the inria level nlpers don't have an easy access to gpu farms
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Yes. In atmospheric science we say grad students doing comp work costing $50k/yr are "cheap" as field campaigns cost millions.
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A $1200 TitanX would have been one of the fastest supercomputers in 2005. Next, specialized ASICs will make 2016 GPU farms look like a joke.
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When that happens, large companies will *still* have 10k times the resources you have. But *you* will have the resources they had yesterday.
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