Gillian Tans Quotes

We believe that one day Emotion AI will be ubiquitous, embedded on chips in our devices, ingrained into technology we use every day at home and at work.

IA is something that is proceeding very naturally, in most cases not even recognized by its developers for what it is.

The real goal of AI is to understand and build devices that can perceive, reason, act, and learn at least as well as we can.

My goal is to create friend machines. Friendly genius machines. Machines with genius capabilities.

I am suggesting that we recognize that in network and interface research there is something as profound (and potential wild) as Artificial Intelligence.

I definitely fall into the camp of thinking of AI as augmenting human capability and capacity.

If we can make computers more intelligent - and I want to be careful of AI hype - and understand the world and the environment better, it can make life so much better for many of us. Just as the Industrial Revolution freed up a lot of humanity from physical drudgery I think AI has the potential to free up humanity from a lot of the mental drudgery.

A lot was happening in A.I. But I also realized it wasn't clear what Salesforce's role in A.I. was. That's when we started acquiring quite a few artificial intelligence companies, maybe a dozen.

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

I think a lot of people don't understand how deep AI already is in so many things.

It is difficult to think of a major industry that AI will not transform. This includes healthcare, education, transportation, retail, communications, and agriculture. There are surprisingly clear paths for AI to make a big difference in all of these industries.

The big AI dreams of making machines that could someday evolve to do intelligent things like humans could - I was turned off by that. I didn't really think that was feasible when I first joined Stanford.

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.

I'm trying to use AI to make the world a better place. To help scientists. To help us communicate more effectively with machines and collaborate with them.

A lot of what people are calling 'artificial intelligence' is really data analytics - in other words, business as usual. If the hype leaves you asking 'What is A.I., really?,' don't worry, you're not alone.

AI as a technology is complex, of course, but the capabilities and benefits of AI aren't hard to understand.

Increasingly, we are embedding artificial intelligence into the core of our clients' businesses across every function and process.

You may not realize it, but artificial intelligence is all around us.

My principal professional objective is to introduce intelligence as the ubiquitous utility. I'd like to be the Thomas Edison of intelligence.

When I was building robots in the early 1990s, the problems of voice recognition, image understanding, VOIP, even touchscreen technologies - these were robotics problems.

I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.

There is huge demand for artificial intelligence technologies.

By 2029, computers will have emotional intelligence and be convincing as people.

When you apply computer science and machine learning to areas that haven't had any innovation in 50 years, you can make rapid advances that seem really incredible.

We wanted to solve robot problems and needed some vision, action, reasoning, planning, and so forth. We even used some structural learning, such as was being explored by Patrick Winston.