Tim Berners-Lee Quotes

Google is all about information. So the notion of using and presenting information in the right point at the right time to users is what, in essence, describes Google.

It turns out a human being in two, three or four hours can build a search result that's much better than Google, Yahoo or Ask.

I was interested in data mining, which means analyzing large amounts of data, discovering patterns and trends. At the same time, Larry started downloading the Web, which turns out to be the most interesting data you can possibly mine.

A calculator is a tool for humans to do math more quickly and accurately than they could ever do by hand; similarly, AI computers are tools for us to perform tasks too difficult or expensive for us to do on our own, such as analyzing large data sets or keeping up to date on medical research.

Any child can tell you what Google does - Google gives you the answers. But Google doesn't, not really.

For me, the most exciting aspect of my success is how the insights that Ayasdi's technology has found in data can truly impact people's lives.

Deep-learning will transform every single industry. Healthcare and transportation will be transformed by deep-learning. I want to live in an AI-powered society. When anyone goes to see a doctor, I want AI to help that doctor provide higher quality and lower cost medical service. I want every five-year-old to have a personalised tutor.

Before Google, I spent the summer building a program that would look at what websites you would go to and what websites other people would go to - and built a collaborative filtering program that helped you find related sites to look at.

If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.

We think machine learning, as it relates to healthcare and life sciences, is extraordinary.

Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.

Machine learning is the science of getting computers to learn without being explicitly programmed.

Big data knows and can deduce more about you than Big Brother ever could.

The whole concept of data science is that the software becomes the expert, and you, as the average user, are able to understand what's going on.

We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.

Big data is going to make us all healthier.

By definition, big data cannot yield complicated descriptions of causality. Especially in healthcare. Almost all of our diseases occur in the intersections of systems in the body.

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.

If I'm reading my Facebook feed, it's using algorithms, procedures, and methods to give me what I want, or what it thinks that I want, or what suits its business plan.

All these things that we've contemplated, whether it's space travel or solutions to diseases that plague us, Ebola virus, all of these things would be a lot more tractable if the machines are trying to solve these problems.

The answers to today's most important scientific, business, and social problems lie in data.

Data is something we create, but it's also something we imagine.

I'm way too famous and rich to be on a dating app, but if I get very desperate by the time I'm 60, I'll go on Tinder. Or I'll go on 'Millionaire Matchmaker'; I'll call Patti Stanger.

In our age of individualism, we see computers as ways through which we can express our individuality. But the truth is that the computers are really good at spotting the very opposite. The computers can see how similar we are, and they then have the ability to agglomerate us together into groups that have the same behaviours.

Without your data, Google couldn't pursue the dream of trying to figure out what you're really thinking when you're asking a question, of trying to discern, from the imprecision of your language, the exact answer you're looking for.