52 Andrew Ng Quotes for You to Enjoy

Andrew Ng

Chinese Scientist

Born: 1976

AI Education Learning People Work You

Related authors: Carl Sagan Charles Darwin Galileo Galilei George Washington Carver Hippocrates Margaret Mead Marie Curie Neil deGrasse Tyson

I thought the best place to advance the AI mission is at Baidu. Andrew Ng

Best AI Thought Advance Mission Place

As leaders, it is incumbent on all of us to make sure we are building a world in which every individual has an opportunity to thrive. Understanding what AI can do and how it fits into your strategy is the beginning, not the end, of that process. Andrew Ng

I think that, hundreds of years from now, if people invent a technology that we haven't heard of yet, maybe a computer could turn evil. But the future is so uncertain. I don't know what's going to happen five years from now. The reason I say that I don't worry about AI turning evil is the same reason I don't worry about overpopulation on Mars. Andrew Ng

Future Technology People AI Evil Invent Think Worry Hundreds Say Hundreds Of Years Mars About Uncertain Could Computer Know Overpopulation Years Heard Five Same Going Maybe Happen Turn Turning Reason Now

In my own life, I found that whenever I wasn't sure what to do next, I would go and learn a lot, read a lot, talk to experts. I don't know how the human brain works, but it's almost magical: when you read enough or talk to enough experts, when you have enough inputs, new ideas start appearing. This seems to happen for a lot of people that I know. Andrew Ng

Life You People Own Enough Input Would Magical Seems My Own Almost New Ideas Know Talk Learn Read Sure How New Ideas Go Brain Lot Human Whenever Happen Human Brain Experts Next Works Appearing Found Start

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

Government AI Innings Thoughtful India Witnessing Race Chooses Early

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. Andrew Ng

Time Learning People Opportunity AI Will Machine India Embrace Window Remain Open Most Course Large Popular Capture Ever Fraction

The biggest ethical challenge AI is facing is jobs. You have to reskill your workforce not just to create a wealthier society but a fairer one. A lot of call centre jobs will go away, and a radiologist's job will be transformed. Andrew Ng

If you want to publish data, you should do it to share knowledge. Andrew Ng

Knowledge You Publish Data Share Want Should

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. Andrew Ng

Work Best Welcome Learning People Amazing AI Thought Google Society Way Would Would-Be Best Way More More People Like Courses Get Cannot Which Us Creating Companies Deep Teams Even Needed

Speech recognition today doesn't really work in noisy environments. Andrew Ng

Work Today Recognition Environments Noisy Really Speech

Animals see a video of the world. If an animal were only to see still images, how would its vision develop? Neuroscientists have run experiments in cats in a dark environment with a strobe so it can only see still images - and those cats' visual systems actually underdevelop. So motion is important, but what is the algorithm? Andrew Ng

Animal Cats World Vision Dark Animals Important Algorithm Those Systems Run Visual Would See Only Develop Environment How Motion Still Were Experiments Video Actually Images

No university is the best place to execute every mission and no one company the best place to execute every mission. Andrew Ng

Best Every No-One Mission Execute Place Company University

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. Andrew Ng

Creative People Become Believe Innovate Ways Systematically Ability Which Processes

Google Brain, which I led, was arguably the single biggest force for turning Google into a great A.I. company. I'm pretty sure I led the team that transformed Baidu as well. So one thing that really excites me is the potential for other companies to become great A.I. companies. Andrew Ng

Great Me Google Single Become Other One Thing Pretty Potential Arguably Excites Well Force Sure Brain Led Biggest Which Transformed Turning Really Team Companies Company Thing

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. Andrew Ng

Work People AI Employees Startup Startups Projects Entrepreneurs Invested New Ideas Go New Projects Them Turn Landing Then Working Internal Companies Teams Fund Founders Bring Number Two

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. Andrew Ng

You Learning Writing School Amazing AI Thought National Software Summer Machines High Would High School Networks Neural Could Write Had Singapore Make Learn Making Versions Itself Intelligent Just Predictions Deep Coolest Coolest Thing Thing Early University

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. Andrew Ng

Baidu Research has three labs - two in Beijing that are already largely built up, and the Silicon Valley one is being built from scratch. We're hiring pretty rapidly, about one person a week, but we are about a month in, so honestly, we haven't done that much work yet. Andrew Ng

Work Three Research Honestly Valley Month Rapidly Silicon Silicon Valley Pretty About Week Built Hiring Up Person Labs Done Scratch Beijing Being Much Largely Two

The thing that really excites me today is building a new AI-powered society. Andrew Ng

Today Me Building Society Excites New Really Thing

Job displacement is so huge, I'm tempted to not talk about anything other than that. Andrew Ng

Job Other About Tempted Talk Huge Than Anything Displacement

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. Andrew Ng

Today You Conversation Learning Value Example Something Data Most Narrow Domains Lot Get Where Cannot Meaningful Deep Here

The two things I'm most excited about are self-driving cars and speech. Speech doesn't sound like that much, but it's one of those technologies with the potential to change everything. Steve Jobs didn't invent the touch screen. He just made it work very well, and that's changed everything. Andrew Ng

Work Change Car Made Invent Changed Everything Those Jobs About Touch Potential He Excited Like Most Steve Steve Jobs Well Sound Very Just Screen Much Things Technologies Two Speech

We're doing a lot of work on self-driving cars. We do not currently have cars in the U.S., but we plan to, for development and testing. I think we are within striking distance of making self-driving cars a reality, and these would be powered by deep learning. Andrew Ng

Work Learning Reality Car Think Distance Striking Would Would-Be Development Powered Within Making Doing Testing Lot Currently Plan Deep

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