deep learning

“Really the key insight is that what makes deep learning work is that it is really well suited to modern hardware where, you know, you have the current generation of chips that are great at Matrix multiplies and, you know, other, other forms of things that requ…”

“What I think we're starting to see right now is a the pendulum starting to swing back in the sense that there is a greater understanding that you really need a bit of both. You need that hugely powerful pattern recognition that we get from deep learning, but y…”

“At the end of the day, in my mind, that's the one and only thing we know really works. If you want to push deep learning forward is to make it faster and more effective and more efficient on a given piece of Hardware.”

“I don't think GPUs are at the sweet spot when it comes to large-scale deep learning with respect to exactly those trade-offs, and so it may very well be that if we actually try these combinations, we might actually even quickly find something that's better.”

“There are people trying, and I think it's worth trying. I, I'm not super optimistic about that. I think it'll work for some cases, right, where it's simple enough that we can get it. I think there are many cases where it just isn't, right? Like, say, climate a…”

“What I think we're starting to see right now is a the pendulum starting to swing back in the sense that there is a greater understanding that you really need a bit of both. You need that hugely powerful pattern recognition that we get from deep learning, but y…”

“Weather modeling is kind of cracked with deep learning, but climate is quite different.”

“Meteorology is like something I actually think, like, deep learning should, like, change, right? Like, it sort of makes a lot of sense. Like, you know, deep learning should be very good at, like, you know, predicting, you know, turbulence and things like that.…”