Look, when AIs come up, they're not going to be like us. A self-aware, sentient AI is not going to be like a human.

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

The main reason I backed DeepMind was strategic: I see my role as bridging the AI research and AI safety communities.

The day healthcare can fully embrace AI is the day we have a revolution in terms of cutting costs and improving care.

It's much more likely that an asteroid will strike the Earth and annihilate life as we know it than AI will turn evil.

I've been to so many manufacturing plants. I've yet to walk into one where I did not think AI solutions wouldn't help.

AI is witnessing an early innings in India. It has a thoughtful government, and India can race ahead if it chooses to.

Governments like China and the United Arab Emirates are investing heavily in AI and see it as a competitive advantage.

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

If you believe everything you read, you are probably quite worried about the prospect of a superintelligent, killer AI.

The tools and technologies we've developed are really the first few drops of water in the vast ocean of what AI can do.

Despite all the hype and excitement about AI, it's still extremely limited today relative to what human intelligence is.

My own work falls into a subset of AI that is about building artificial emotional intelligence, or Emotion AI for short.

Education is one of the industry categories with a big potential for AI. And Coursera is already doing some of this work.

We need to build EQ in our AI systems because, otherwise, they're not going to be as effective as they were designed to be.

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.

I looked at but was not allowed to touch Ai Weiwei's 'Sunflower Seeds' at the Tate. The film of making them was really moving.

AI as a tool in music-making is fine, but it's always going to be the humanity in music that makes people want to listen to it.

In general, when it comes to AI, many of us subconsciously cling to the selfish notion that humanity is the endpoint of evolution.

AI is going to be extremely beneficial, and already is, to the field of cybersecurity. It's also going to be beneficial to criminals.

To say that AI will start doing what it wants for its own purposes is like saying a calculator will start making its own calculations.

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.

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

Autonomous driving provides a scenario where AI can deliver smart tools for assistance in decision-making and planning to human drivers.

What all of us have to do is to make sure we are using AI in a way that is for the benefit of humanity, not to the detriment of humanity.

In the end, I expect we'll have AI that is better than we are at nearly every narrow task but which are still our tools, not our masters.

We all have a responsibility to make sure everyone - including companies, governments, and researchers - develop AI with diversity in mind.

Teaching is probably the most difficult of all current jobs for an AI to manage. If you don't believe that, then you have never truly taught.

For me it's very important to think about AI's impact in the world, and one of the most important missions is to democratize this technology.

Not only can AI improve civilian safety, it will vastly improve battlefield logistics, creating better scenarios for men and women in uniform.

The thing that's going to make artificial intelligence so powerful is its ability to learn, and the way AI learns is to look at human culture.

Only by developing a deeper understanding of AI systems as they act in the world can we ensure that this new infrastructure never turns toxic.

AI will allow the soldier to act and think much more quickly. Whoever gets to AI first, I believe, will have dominance for many years afterward.

One thing ImageNet changed in the field of AI is suddenly people realized the thankless work of making a dataset was at the core of AI research.

If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future.

Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks.

AI - not so some kind of far-off thing. It's part of our lives now, from your phone to everything you do. It makes our lives easier in a lot of ways.

While introducing AI into the government will save money through optimizing processes, it should also be deployed to eliminate waste, fraud, and abuse.

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'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.

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.

Having been trained as a computer scientist in the '90s, everybody knew that AI didn't work. People tried it. They tried neural nets, and none of it worked.

I do worry that organizations and even governments who own AI and data will have a competitive advantage and power, and those who don't will be left behind.

There was a failure to recognize the deep problems in AI; for instance, those captured in Blocks World. The people building physical robots learned nothing.

When I went to AI New England in Boston, I used to do my mixtapes, and honestly, if you look back at any of my mixtapes, every single mixtape tells a story.

People are going to use more and more AI. Acceleration is going to be the path forward for computing. These fundamental trends, I completely believe in them.

Ai Weiwei, who is both a widely admired conceptual artist and a fearless human-rights activist, has been on the bad side of the Chinese government for years.

There are many valid concerns about AI, from its impact on jobs to its uses in autonomous weapons systems and even to the potential risk of superintelligence.

India has a large base of tech talent, and I hope that a lot of AI machine learning education online will allow Indian software professionals to break into AI.

Understanding of natural language is what sometimes is called 'AI complete,' meaning if you can really do that, you can probably solve artificial intelligence.

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