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Quotes by Scientists
Quotes by Scientists
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
Dreams
AI
First
Big
Think
Machines
Evolve
Someday
Feasible
Joined
Could
Like
Making
Off
Intelligent
Turned
Really
Stanford
Things
Humans
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
I'm super excited about health care; I'm super excited about education - major industries where AI can play a big role.
Andrew Ng
Education
Health
Care
AI
Big
Super
About
Excited
Major
Industries
Health Care
Role
Where
Play
With the Google Brain project, we made the decision to build deep learning processes on top of Google's existing infrastructure.
Andrew Ng
Learning
Decision
Made
Google
Build
Project
Top
Brain
Existing
Processes
Infrastructure
Deep
Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.
Andrew Ng
Learning
Rare
Too
Channels
Meetings
Resources
Find
Structure
Having
Both
Area
Through
Without
Pass
Very
Get
Committee
Done
Where
Deep
Many
Company
Things
Necessary
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.
Andrew Ng
Education
Better
AI
Beginning
See
Data
Online
Putting
Like
Most
Read
Content
Healthcare
Lot
Up
Than
Companies
Images
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.
Andrew Ng
People
AI
Valley
India
Silicon
Seeing
Silicon Valley
Followed
Excitement
Taking
Leading
Courses
Am
Lot
Canada
Going
Beijing
Who
Number
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.
Andrew Ng
Walk
Plants
AI
Think
Solutions
Been
Did
Where
Help
Manufacturing
Many
With human inspectors, it's difficult to get even the same person to make consistent judgments.
Andrew Ng
Difficult
Consistent
Make
Judgments
Person
Get
Same
Human
Even
There are some outcomes in finance we don't want, and government should regulate that.
Andrew Ng
Finance
Government
Outcomes
Some
Want
Should
Regulate
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.
Andrew Ng
Work
Best
Myself
Me
Project
Out
Find
Driven
Excites
Mission
Most
Always
Am
Want
Place
Ask
Then
Working
Figure
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.
Andrew Ng
You
People
World
Worth
Problems
Will
Focus
Solving
Make
Discoveries
Efforts
Preference
Choice
Working
Help
Help People
Many
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