A Quote by Andrew Ng

Education is one of the industry categories with a big potential for AI. And Coursera is already doing some of this work. — © Andrew Ng
Education is one of the industry categories with a big potential for AI. And Coursera is already doing some of this work.
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.
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.
AI's ability to recognize visual categories and images is now pretty close to what human beings can manage, and probably better than a lot of people's, actually. AI can have more knowledge of detailed categories, like animals and so on.
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.
Now that neural nets work, industry and government have started calling neural nets AI. And the people in AI who spent all their life mocking neural nets and saying they'd never do anything are now happy to call them AI and try and get some of the money.
Besides publishing its own work, the Google AI China Center will also support the AI research community by funding and sponsoring AI conferences and workshops and working closely with the vibrant Chinese AI research community.
I will continue my work to shepherd in this important societal change... In addition to working on AI myself, I will also explore new ways to support all of you in the global AI community so that we can all work together to bring this AI-powered society to fruition.
Google or other search engines are examples of AI, and relatively simple AI, but they're still AI. That plus an awful lot of hardware to make it work fast enough.
I come from a nation where fantastic fiction has a very low status, unless it fits into some very specific categories or is written by already established authors. I don't by any means try to hide what I write, but the way people think in categories here is pretty extreme: it blots out discussing the actual work on its own terms. That's made me loath to talk about my own work in terms of genre, because once you get a label, it sticks and poof go a slew of potential readers and reviewers because eww, fantasy cooties.
I don't think there's a particular technology that will set the trajectory for us moving forward. We don't want to be one of the companies that say AI is the next big thing, let's go build an AI application for Robinhood. That might not work. It might be awkward.
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.
AI is everywhere. It's not that big, scary thing in the future. AI is here with us.
I don't know what would happen if the media starts picking up a theme that Google is secretly building AI weapons or AI technologies to enable weapons for the defense industry.
I saw 'The 39 Clues' as a potential vehicle for doing some education in a fun way - to take some of these amazing stories from history, dust them off and make them alive.
Beyond helping other people build AI systems with Deeplearning.ai, I also hope to build some AI systems myself!
There are two companies that the AI Fund has invested in - Woebot and Landing AI - and the AI Fund has a number of internal teams working on new projects. We usually bring in people as employees, work with them to turn ideas into startups, then have the entrepreneurs go into the startup as founders.
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