We're training Google Street View to recognize street numbers.
The speech recognition is now good enough that I dictate emails on my phone rather than type them in. It's not perfect, but it's good enough that it changes how I interact with my phone.
We want to build systems that can generalize to a new task. Being able to do things with much less data and with much less computation is going to be interesting and important.
The things that I really enjoy doing are finding interesting problems and working together with colleagues to figure out how we can solve them.
It would be great to have every engineer have at least some amount of knowledge of machine learning.
Deep neural networks are responsible for some of the greatest advances in modern computer science.
Some things are easier to parrellelize than others. It's pretty easy to train up 100 models and pick the best one. If you want to train one big model but do it on hundreds of machines, that's a lot harder to parallelize.
In Google data centers, our energy usage throughout the year for all our computing needs is 100 percent renewable.
AI can help solve some of the most difficult social and environmental challenges in areas like healthcare, disaster prediction, environmental conservation, agriculture, or cultural preservation.
Understanding language is core to a lot of Google products such as Gmail.
It's important to engage with governments around the world in how they're thinking about AI - to help inform them.
The healthcare space is a very complicated one for a variety of reasons: It's much more regulated than some other kinds of industries, for good reason.
Microsoft is in a lot of the same businesses that Google is in.
I think really what cloud customers care about is, can they get their problem solved on any particular provider's cloud products?
I think that is one of the main goals of pushing forward in machine learning: having computers provide the wisdom that a human companion would be able to provide in offering advice, looking up more information when necessary and those kinds of things.
I think true artificial general intelligence would be a system that is able to perform human-level reasoning, understanding, and accomplishing of complicated tasks.
I spend a fair amount of time dealing with email, mostly deleting them or skimming them to get a sense of what is going on.
You need to find someone that you're gonna pair-program with who's compatible with your way of thinking, so that the two of you together are a complementary force.
There's a lot of work in machine learning systems that is not actually machine learning.
I've always liked code that runs fast.
