Marissa Mayer Quotes

I'm a geek through and through. My last job at Microsoft was leading much of the search engine relevance work on Bing. There we got to play with huge amounts of data, with neural networks and other AI techniques, with massive server farms.

Artifical Intellegence is the most important of the coming technologies. Whoever can crack that will have a company worth 10 Microsofts.

I joined Baidu in 2014 to work on AI. Since then, Baidu's AI group has grown to roughly 1,300 people, which includes the 300-person Baidu Research. Our AI software is used every day by hundreds of millions of people.

Artificial intelligence... I've been following that since I was in high school.

Artificial intelligence, machine learning... cell therapy, immunotherapy. There's just a constant stream of investment ideas we could pursue better in that fashion.

The world got enamored with smartphones and tablets, but what's interesting is those devices don't do everything that needs to be done. Three-D printing, virtual-reality computing, robotics are all controlled by PCs.

I'm fascinated by artificial intelligence.

It's going to be interesting to see how society deals with artificial intelligence, but it will definitely be cool.

There is huge demand for artificial intelligence technologies.

I think Google is a great company, and they're doing really cool things. But they're not doing things that are going to put us, I think, into the next generation of technology.

Interactive computers and software will, I think, provide a less costly method of doing some kinds of inquiry, in knowledge acquisition and even reasoning and interaction.

The world that our children living in is going to be completely different because of big data.

If you want to solve very complex problems, you will have to end up letting machines work out a lot of the details for themselves, and in ways that we don't understand what they are doing.

So the thing I realized rather gradually - I must say starting about 20 years ago now that we know about computers and things - there's a possibility of a more general basis for rules to describe nature.

This is a magical time for computer programming. We are moving towards the artifical intelligence holy grail of programming the computer to simulate the human brain.

Today, there are industries employing hundreds of thousands of engineers creating artificial intelligence.

There's a very long tail of all sorts of creative products - beyond our core web search, image search and advertising businesses - that are powered by deep learning.

A new, a vast, and a powerful language is developed for the future use of analysis, in which to wield its truths so that these may become of more speedy and accurate practical application for the purposes of mankind than the means hitherto in our possession have rendered possible.

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.

I believe this artificial intelligence is going to be our partner. If we misuse it, it will be a risk. If we use it right, it can be our partner.

Machine learning allows us to build software solutions that exceed human understanding and shows us how AI can innervate every industry.

I am telling you, the world's first trillionaires are going to come from somebody who masters A.I. and all its derivatives and applies it in ways we never thought of.

Google seems to be more intelligent than some people.

Deep learning allows you to create predictive models at a level of quality and sophistication that was previously out of reach. And so deep learning also enhances the product function of data science because it can generate new product opportunities.

I am betting on Google's team to be the epicenter of future breakthroughs.