A Quote by Andrew Ng

One of the things Baidu did well early on was to create an internal platform that made it possible for any engineer to apply deep learning to whatever application they wanted to, including applications that AI researchers like me would never have thought of.
One of the things that Baidu did well early on was to create an internal platform for deep learning. What that did was enable engineers all across the company, including people who were not AI researchers, to leverage deep learning in all sorts of creative ways - applications that an AI researcher like me never would have thought of.
Even companies like Baidu and Google, which have amazing AI teams, cannot do all the work needed to get us to an AI-powered society. I thought the best way to get us there would be creating courses to welcome more people to deep learning.
Baidu's AI is incredibly strong, and the team is stacked up and down with talent; I am confident AI at Baidu will continue to flourish. After Baidu, I am excited to continue working toward the AI transformation of our society and the use of AI to make life better for everyone.
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.
And so when I moved to IBM, I moved because I thought I could apply technology. I didn't actually have to do my engineer - I was an electrical engineer, but I could apply it. And that was when I changed. And when I got there, though, I have to say, at the time, I really never felt there was a constraint about being a woman. I really did not.
I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.
My wife loves to tell me that I love to tell people, 'Oh, I never thought WWE would sign me. I never thought I'd be on TV. I never thought I'd be a champion. I never thought any of those things were remotely possible.'
Web GIS provides us with a whole new window into our information through applications that are easy, 3D, and analytic. These applications are not just casual things, but reach deep into geographic knowledge and apply it.
One of my relatives had been asking me on how he could break into AI. For him to learn AI - deep-learning, technically - a lot of facts exist on the Internet, but it is difficult for someone to go and read the right combination of research papers and find blog posts and YouTube videos and figure out themselves on how to learn deep-learning.
Take any old classification problem where you have a lot of data, and it's going to be solved by deep learning. There's going to be thousands of applications of deep learning.
I thought the best place to advance the AI mission is at Baidu.
My dad, of course, like a lot of Asian parents, wanted me to be an engineer or doctor and never could understand why I would want to be a lawyer. And then, when I first said I wanted to run for office, he thought that was absolutely insane.
In early 2008, it was confirmed that there would be an opportunity to build applications for the iPhone. We were fortunate enough to make the right call on that: to bet early, to put resources into it and have a pretty good application in the store at the moment when it opened.
My original idea- and I still want to do it -for Pinko Records, would be to create a platform for other artists to do the same thing I did. They could create their own levels of donation and final goal. I have no idea how I would make any money on that -but I don't think like that.
For as long as I can remember, I have been fascinated by things large and small. I wanted to know what made my watch tick, my radio play, and my house stand. I wanted to know who invented the bottle cap and who designed the bridge. I guess from early on I wanted to be an engineer.
We all have a responsibility to make sure everyone - including companies, governments, and researchers - develop AI with diversity in mind.
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