A Quote by Andrew Ng
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.
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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.
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.
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.
Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.
I think a lot of people are doing content well today. A lot of companies are coming into the space. It is growing faster than anything other than mobile. You can see why. You look at young people and you can see how many are consuming content on their phones.
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.
Education is one of the industry categories with a big potential for AI. And Coursera is already doing some of this work.
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.
I read a lot of news online, but I like buying a paper because I'll read an article I wouldn't normally read. And more often than not, the articles that you don't expect to care about are the ones that grab you.
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.
We've seen a lot of data at YC now, and the most successful companies and the ones where the investors do the best... end up giving a lot of stock out to employees- year after year after year.
Medicare is expensive because we spend a lot on healthcare. We spend a lot on healthcare basically just because we want to, and doing so has been very good to a lot of people who work in healthcare fields.
The thing that excites me most technologically is the ability to use VR not just for games and displaying our content, but also for creating that content. We're putting a lot of thought into what the Unreal Engine editor looks like as a VR application.
Both Donald Trump and the Democrats have said terrible things about the healthcare companies. If healthcare companies think they can make money in the US, the rest of the world will go along for the ride. At the end of the day, we may not like the cost of healthcare, but it's going to be pretty dang hard to contain it.
On healthcare we are the prisoner of our past. The way we got to develop any kind of medical insurance program was during World War II when companies facing shortages of workers began to offer healthcare benefits as an inducement for employment. So from the early 1940s healthcare was seen as a privilege connected to employment. And after the war when soldiers came back and went back into the market there was a lot of competition, because the economy was so heated up.
AIs are only as good as the data they are trained on. And while many of the tech giants working on AI, like Google and Facebook, have open-sourced some of their algorithms, they hold back most of their data.
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