Andrew Ng Quotes

Today, there are industries employing hundreds of thousands of engineers creating artificial intelligence.

I think what's really amazing is that given the scale of the web and getting the compute power we have today, we're starting to see things that appear intelligent but actually aren't semantically intelligent.

My background really comes from geekdom and the idea of building a smart machine. If we're going to build a smart machine, let's have it read good books.

So the thing I realized rather gradually - I must say starting about 20 years ago now that we know about computers and things - there's a possibility of a more general basis for rules to describe nature.

This is a magical time for computer programming. We are moving towards the artifical intelligence holy grail of programming the computer to simulate the human brain.

Whatever you are studying right now, if you are not getting up to speed on deep learning, neural networks, etc., you lose. We are going through the process where software will automate software, automation will automate automation.

Machine learning is the science of getting computers to learn without being explicitly programmed.

The deep learning techniques, while relatively easy to learn, are quite foreign to traditional engineering modalities. It takes a different mindset and a relaxation of the presumption of control. The practitioners are like magi, sequestered from the rest of a typical engineering process.

Whether you're looking at manufacturing and the use of robotics or the knowledge industries, they need computer programmers.

Once computers can program, they basically take over technological progress because already, today, the majority of technological progress is run by software, by programming.

I often tell my students not to be misled by the name 'artificial intelligence' - there is nothing artificial about it. AI is made by humans, intended to behave by humans, and, ultimately, to impact humans' lives and human society.

If you step back a little and say we want to do A.I., then you will realize that A.I. needs knowledge, reasoning, and explanation.

I'm fascinated by artificial intelligence.

It's going to be interesting to see how society deals with artificial intelligence, but it will definitely be cool.

Computers, like automobiles and airplanes, do only what people tell them to do.

No more than these machines need the mathematician know what he does.

If you want to solve very complex problems, you will have to end up letting machines work out a lot of the details for themselves, and in ways that we don't understand what they are doing.

Let us change our traditional attitude to the construction of programs. Instead of imagining that our main task is to instruct a computer what to do, let us concentrate rather on explaining to human beings what we want a computer to do.

There was something amazingly enticing about programming.

Computers are famous for being able to do complicated things starting from simple programs.

A year spent in artificial intelligence is enough to make one believe in God.

Google is already overflowing with incredibly creative bright groups already working on lots of the software problems of the world.

The key to artificial intelligence has always been the representation.

The computer would do anything you programmed it to do.

I think computer science, by and large, is still stuck in the Modern age.