Why AI?

Hadelin de Ponteves
A free video tutorial from Hadelin de Ponteves
AI Entrepreneur
4.5 instructor rating • 29 courses • 1,335,896 students

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Artificial Intelligence A-Z™: Learn How To Build An AI

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

16:16:49 of on-demand video • Updated July 2021

  • Build an AI
  • Understand the theory behind Artificial Intelligence
  • Make a virtual Self Driving Car
  • Make an AI to beat games
  • Solve Real World Problems with AI
  • Master the State of the Art AI models
  • Q-Learning
  • Deep Q-Learning
  • Deep Convolutional Q-Learning
  • A3C
English [Auto] Hello and welcome to the course on artificial intelligence A is that my name is Colonel Rayco. And on behalf of Adland Upon the Construction, this course, I'd like to welcome you into this amazing adventure that we're about to start. And what's up with this time? Well, the reason for this timer is this is my third time recording this tutorial and I get so excited about these things and it just goes over like blows over 10 minutes or 20 minutes. So I decided to limit myself to five minutes to get you excited about this course and why it's the best time to be in. So let's dive into it. Good. Four and a half minutes left. Why? Well, we've all heard about applications of artificial intelligence that are popping up around us, self-driving cars, medicine, heavy machinery, the customer service. The list just keeps going on and on and on. But why right now? Why not ten years ago, not 10 years later? Well, the answer is hidden in this car, which is called Moore's Law. It was originally identified in nineteen sixty five by Gordon Moore. And what it says is that the power of the average computer, like in very simple terms, the power of the average computer that you can buy for a thousand dollars will double every 18 to 24 months. And that's been, as you can see, that the law has held constant through good times and bad war and peace and the recession, depressions and nothing stops this curve. And we've already surpassed the brain of an insect for an average computer age, you can buy from a thousand bucks. We're sitting on about the speed, the processing power of the brain of a rat. By twenty twenty five, we'll be at the brain of a human. As you can see, it's exponentially growing. And so this is a great time to be in artificial intelligence. It's just going to be doubling. The power is going to be doubling every time. All right, three minutes. So what's some of my favorite examples are related to games like chess and gold. So in nineteen ninety seven, Deep Mind was the first computer to beat Garry Kasparov in chess. It was a huge thing, was like one of the most broadcasted chess games on the planet ever and at the same time. And so that was like and considered an impossible feat. Right now on any phone you can install an app with chess which no human player will ever be because computers aren't that good. Now, you just cannot beat a computer in chess if you put on the hardest setting. And then just recently, in March 2016, a computer won against the 18 World Times champion and world champion of the game of goal, Lisa Idul again considered an impossible feat. Even at the start of a match, it was considered to have to be impossible. That only going to happen ten years from then. But it happened. And by the way, if you'd like, find out a bit more about the game. Go. It's very, very exciting. Very interesting. It's got forty million players, thirty thousand year old game, very popular in China, Japan and Korea. And it's much more complex than chess. So just this many more possible combinations. So, again, something that is considered impossible is happening and it's happening now and much earlier than it's time. So how are we going for time? One minute, 52 seconds. So that's what you'll see from this course. You'll see that we're using games to train A.I. Why are we doing that? Because games are a confined environment where we can if we can beat a game using an artificial intelligence, then we can use the same principles to apply to business. And that's the exact same thing that the team at Google Deep Mind who created Alpha Gal who won against the U.S. dollar. That's exactly what they did. They applied artificial intelligence to a Google's warehouse to control the air cooling. And what they found is this is the electricity bill, electricity consumption. You can see like it's going like this. Soon as they switch on, the pipe goes down and then they switch it back off, goes up. They were able to save 40 percent on their electricity bill. And I have one minute, 40 percent. So you can find the full article on the Deep Mind blog. That is insane. Imagine that for a company of Google scale which has millions and millions of servers. So there you go. That's that's your connection between applying artificial intelligence and games and applying it to business. Very, very closely related. And that's what you will be able to do after this course. And finally, one of my favorite blogs way, but why dot com? Check it out. Amazing blog by Tim Urban. This is how he describes the situation we're in. This is US and technological progress. We're sitting here. This is what it looks like, looks very, very linear. But because it's an exponential boom, this is what's going to happen in the next years. And there's very strong evidence from the things that we're seeing to suggest that we're sitting right over here on the King of the Curve. And that, my friends, in short, is why it's so exciting to be alive right now, why it's so exciting to be and get into and be in the space of artificial intelligence, because the power you'll have, the applications that you will be able to create or the ways you'll be able to apply it is going to be intense and insane. And I can't wait to see you on the first half of this course. Let's get this started.