Quotes of All Topics . Occasions . Authors
AI is creating tremendous economic value today.
The true value proposition of education is employment.
Life is shockingly short; I don't want to waste that many days.
I thought the best place to advance the AI mission is at Baidu.
Speech recognition today doesn't really work in noisy environments.
Some of the most successful businesses succeed by exploiting their users.
One of my philosophies of building companies is the importance of velocity.
The thing that really excites me today is building a new AI-powered society.
Job displacement is so huge, I'm tempted to not talk about anything other than that.
There are some outcomes in finance we don't want, and government should regulate that.
Education is not about thinning the herd. Education is about helping every student succeed.
None of us today know how to get computers to learn with the speed and flexibility of a child.
With human inspectors, it's difficult to get even the same person to make consistent judgments.
We can build a much brighter future where humans are relieved of menial work using AI capabilities.
It seemed really amazing that you could write a few lines of code and have it learn to do interesting things.
People change jobs much more often, and therefore, companies, on average, invest less in employee development.
Beyond helping other people build AI systems with Deeplearning.ai, I also hope to build some AI systems myself!
No university is the best place to execute every mission and no one company the best place to execute every mission.
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.
I'm super excited about health care; I'm super excited about education - major industries where AI can play a big role.
Despite all the hype and excitement about AI, it's still extremely limited today relative to what human intelligence is.
Education is one of the industry categories with a big potential for AI. And Coursera is already doing some of this work.
If you show a poetry professor your shiny new multiple choice teaching technology, he will invite you to exit his office.
With the Google Brain project, we made the decision to build deep learning processes on top of Google's existing infrastructure.
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.
I find it a very encouraging sign for a society if employers are bringing online education to their companies, helping employees gain more knowledge.
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.
We're making this analogy that AI is the new electricity. Electricity transformed industries: agriculture, transportation, communication, manufacturing.
The Chinese market is very different. One of the things that I believe is that the biggest, hottest tech trend in China right now is O2O, or online-to-offline.
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.
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.
Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.
I believe that the ability to innovate and to be creative are teachable processes. There are ways by which people can systematically innovate or systematically become creative.
I am always mission driven, and I always ask myself what I want to be working on, what project excites me the most. I figure that out and then find the best place to do that work.
I am super optimistic about the near-term prospects of AI because every time there is a technological disruption, it gives us the opportunity of making the world a little different.
When you go to Japan, there is such a talent shortage that the debate about AI taking jobs is almost non-existent. The debate is, how can we automate this so we can get all the work done?
There are so many problems in the world worth working on and so many discoveries to make, you have to make a choice. My preference is to focus my efforts on solving problems that will help people.
The most trusted way to keep moving up that value chain is to keep investing in individuals - to help them grow in knowledge and skills. Education is hard. It takes individuals to do the hard work.
Silicon Valley and Beijing are the leading hubs of AI, followed by the U.K. and Canada. I am seeing a lot of excitement in India, going by the number of people who are taking Coursera courses on AI.
I think the Indian AI ecosystem is growing rapidly. A lot of Indian entrepreneurs reach out to me seeking feedback about startups and products. And some of them have very interesting business ideas.
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.
I want an AI-powered society because I see so many ways that AI can make human life better. We can make so many decisions more systematically or automate away repetitive tasks and save so much human time.
Machine learning is the most popular course for people from India. There is a window of time when India can embrace and capture a large fraction of the AI opportunity. But it will not remain open for ever.
I think the next massive wave of value creation will be when you can get a manufacturing company or agriculture devices company or a health care company to develop dozens of AI solutions to help their businesses.
We think that many companies view Coursera as a quality, convenient, inexpensive way to continue employee development. Is there a contract with a company that might make sense? I don't have an answer to that yet.
In healthcare, we are beginning to see that AI can read the radiology images better than most radiologists. In education, we have a lot of data, and companies like Coursera are putting up a lot of content online.
No one knows what the right algorithm is, but it gives us hope that if we can discover some crude approximation of whatever this algorithm is and implement it on a computer, that can help us make a lot of progress.
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.
I think the world will just be better if AI is helping us. It will reduce the cost of goods, giving us good education, changing the way we run hospitals and the health-care system - there's just a long list of things.