Bill Gates Quotes

I want to build the next CNN with 'VICE' - it's within my grasp.

If I say 'Find me an interesting painting' to Google, someday a robot could go around the Picasso museum and take a picture for me.

Yes, iD is a machine vision and sensor browser for the physical world. That's what we have been working on with Coca-Cola, Verizon, Bank of America and Disney to launch content when an image is recognised.

In the past, Google has used teams of humans to 'read' its street address images - in essence, to render images into actionable data. But using neural network technology, the company has trained computers to extract that data automatically - and with a level of accuracy that meets or beats human operators.

As commentators like the American psychologist Gary Marcus have noted, it's extremely difficult to teach a computer to recognise cats. And that's not for want of trying.

Rex is 60 years old with 13 million images and 10 million in archive. It's the first time we've had a historic archive to work with, which is super interesting.

If computers remain far worse than us at image recognition, a certain over-confident combination of man and machine can elsewhere take inaccuracy to a whole new level.

Graphics has lately made a great shift towards machine learning, which itself is about understanding data.

If you use Facebook - as I do - Facebook in all likelihood has a unique digital file of your face, one that can be as accurate as a fingerprint and that can be used to identify you in a photo of a large crowd.

One thing that humans still do better than computers is recognize images.

When I climb into my car, I enter my destination into a GPS device, whose spatial memory supplants my own. I have photographs to store the images I want to remember, books to store knowledge and now, thanks to Google, I rarely have to remember anything more than the right set of search terms to access humankind's collective memory.

We can now with Google Glasses record everything around us, and we can make sure that nothing is ever forgotten because everything is stored somewhere in Google servers or somewhere else.

As a photographer, I'm interested in how dramatically photography has changed. Most images are not real or are composites, and most of us don't even know it anymore.

I've always been very interested in the question of how computation can fundamentally advance the things that we can see. This led me to have a fascination with medical imaging, especially things like MRI and scanning, and eventually computer graphics.

Each time I arrived in a new city, I'd get lost in the streets and photograph everything that looked interesting, taking nearly a thousand photographs every day. After each day of shooting, I'd select 30 or 40 of my favorite photographs and post them on Facebook. I named the albums after my first impression of each city.

A lot of the future of search is going to be about pictures instead of keywords. Computer vision technology is going to be a big deal.

In Silicon Valley, there are a lot of startups using computer vision for agriculture or shopping - there are a lot for clothes shopping. At Baidu, for example, if you find a picture of a movie star, we actually use facial recognition to identify that movie star and then tell you things like their age and hobbies.

Computer vision and machine learning have really started to take off, but for most people, the whole idea of what is a computer seeing when it's looking at an image is relatively obscure.

By developing deep learning solutions that are faster, easier, and less expensive to use, Nervana is democratizing deep learning and fueling advances in medical diagnostics, image and speech recognition, genomics, agriculture, finance, and eventually across all industries.

Everyone talks about how much data's in the world. Except, actually, 80% of it is pretty blind to computers. I mean, it can store it. But if it's a movie, a poem, a song, it doesn't know what it's actually saying or doing.

The revolution in deep nets has been very profound. It definitely surprised me, even though I was sitting right there.

The future of Windows is to let the computer see, listen and even learn.

The real use of AI in industry is generally for very narrow pattern-matchers - a better search algorithm, an object-detection algorithm, etc. These things are tools which we can use - for good or evil. But they're nothing like self-aware beings.

Artificial intelligence is one of 50 things that Watson does. There is also machine learning, text-to-speech, speech-to-text, and different analytical engines - they're like little Lego bricks. You can put intelligence in any product or any process you have.

Our kids will never have to remember things, because it's all in pictures. Want to remember your fourth birthday? There'll be video of it on your phone.