Ai Applications Quotes

I could do a whole talk on the question of is AI dangerous.' My response is that AI is not going to exterminate us. It's a tool that's going to empower us.

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.

AI does not keep me up at night. Almost no one is working on conscious machines. Deep learning algorithms, or Google search, or Facebook personalization, or Siri or self driving cars or Watson, those have the same relationship to conscious machines as a toaster does to a chess-playing computer.

AI-assisted driving is a perfect platform for advancing fundamental human-centric artificial intelligence research while also producing practical applications.

If someone has a fantastic biology background, he or she can contribute in AI and health care. AI has many aspects.

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.

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.

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.

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

Things like chatbots, machine learning tools, natural language processing, or sentiment analysis are applications of artificial intelligence that may one day profoundly change how we think about and transact in travel and local experiences.

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

Beyond helping other people build AI systems with Deeplearning.ai, I also hope to build some AI systems myself!

Deep learning is a subfield of machine learning, which is a vibrant research area in artificial intelligence, or AI.

Artificial intelligence is a tool, not a threat

One of our big goals in search is to make search that really understands exactly what you want, understands everything in the world. As computer scientists, we call that artificial 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.

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

I think that there are so many problems that we have as a society that AI can help us address.

We're doing a lot of work on self-driving cars. We do not currently have cars in the U.S., but we plan to, for development and testing. I think we are within striking distance of making self-driving cars a reality, and these would be powered by deep learning.

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

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

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'm super excited about health care; I'm super excited about education - major industries where AI can play a big role.

My hope for AI and Facebook in the next decade is you can sit down and tell Facebook, 'This is what I want to hear about today.' Like, I'm having a bad day; I want to hear some good news. If we make our products better, more people will use it - people use it more. It's fairly easy to understand.

I see that our emotional AI technology can be a core component of online learning systems - health wearables, even.