What is Artificial Intelligence (or Machine Learning)?

What is Artificial Intelligence (or Machine Learning)?


Every day, a large portion of the population is at the mercy of a rising technology, yet few actually understand what it is. Artificial intelligence. You know, HAL 9000 and Marvin the Paranoid Android? Thanks to books and movies, each generation has formed its own fantasy of a world ruled — or at leased served — by robots. We’ve been conditioned to expect flying cars that steer clear of traffic and robotic maids whipping up our weekday dinner. But if the age of AI is here, why don’t our lives look more like the Jetson’s? Well, for starters, that’s a cartoon. And really, if you’ve ever browsed Netflix movie suggestions or told Alexa to order a pizza, you’re probably interacting with artificial intelligence more than you realize. And that’s kind of the point. AI is designed so you don’t realize there’s a computer calling the shots. But that also makes understanding what AI is, and what it’s not, a little complicated. In basic terms, AI is a broad area of computer science that makes machines seem like they have human intelligence. So it’s not only programming a computer to drive a car by obeying traffic signals, but it’s when that program also learns to exhibit signs of human-like road rage. As intimidating as it may seem, this technology isn’t new. Actually, for the past half-a-century, it’s been an idea ahead of its time. The term “artificial intelligence” was first coined back in 1956 by Dartmouth professor John McCarthy. He called together a group of computer scientists and mathematicians to see if machines could learn like a young child does, using trial and error to develop formal reasoning. The project proposal says they’ll figure out how to make machines “use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves.” That was more than 60 years ago. Since then, AI has remained for the most part in university classrooms and super secret labs … But that’s changing. Like all exponential curves, it’s hard to tell when a line that’s slowly ticking upwards is going to skyrocket. But during the past few years, a couple of factors have led to AI becoming the next “big” thing: First, huge amounts of data are being created every minute. In fact, 90% of the world’s data has been generated in the past two years. And now thanks to advances in processing speeds, computers can actually make sense of all this information more quickly. Because of this, tech giants and venture capitalists have bought into AI and are infusing the market with cash and new applications. Very soon, AI will become a little less artificial, and a lot more intelligent. Now the question is: Should you brace yourself for yet another Terminator movie, live on your city streets? Not exactly. In fact, stop thinking of robots. When it comes to AI, a robot is nothing more than the shell concealing what’s actually used to power the technology. That means AI can manifest itself in many different ways. Let’s break down the options. First, you have your bots. They’re text-based and incredibly powerful, but they have limitations. Ask a weather bot for the forecast, and it will tell you it’s partly cloudy with a high of 57. But ask that same bot what time it is in Tokyo, and it’ll get a little confused. That’s because the bot’s creator only programmed it to give you the weather by pulling from a specific data source. Natural language processing makes these bots a bit more sophisticated. When you ask Siri or Cortana where the closest gas station is, it’s really just translating your voice into text, feeding it to a search engine, and reading the answer back in human syntax. So in other words, you don’t have to speak in code. At the far end of the spectrum is machine learning, and honestly, it’s one of the most exciting areas of AI. Like a human, a machine retains information and becomes smarter over time. But unlike a human, it’s not susceptible to things like short-term memory loss, information overload, sleep deprivation, and distractions. But how do these machines actually learn? Well, while it may be easy for a human to know the difference between a cat and a dog, for a computer, not so much. You see, when you’re only considering physical appearance, the difference between cats and dogs can be a little gray. You can say cats have pointed ears and dogs have floppy ears, but those rules aren’t universal. Between tail length, fur texture, and color, there are a lot of options, and that means a lot of tedious rules someone would have to program manually to help a computer spot the difference. But remember — machine learning is about making machines learn like humans. And like any toddler, that means they have to learn by experience. With machine learning, programs analyze thousands of examples to build an algorithm. It then tweaks the algorithm based on if it achieves its goal. Over time, the program actually gets smarter. That’s how machines like IBM’s Watson can diagnose cancer, compose classical symphonies, or crush Ken Jennings at Jeopardy. Some programs even mimic the way the human brain is structured, complete with neural networks that help humans — and now machines — solve problems. Generations have long imagined the ramifications of AI, visualizing a society where machines seek revenge and wreak havoc on human society. However, the more logical and pressing question is: How will AI affect your job? Will it make your work obsolete? Just like the Industrial Revolution, it’s not human versus machine. It’s human and machine versus problem. The point is that artificial intelligence helps you accomplish more in less time, taking on the repetitive tasks of your job while you master the strategy and relationships. That way, humans can do what they do best … be human.

100 thoughts on “What is Artificial Intelligence (or Machine Learning)?

  1. This video sounds like its made by an intelligent bot to keep you believing that machine are not going to take over the world. While they secretly plan to do so! 😀

  2. What about when Ai recognizes global warming isn't the problem, cancer isn't the problem, starvation isn't the problem. But humans wanting to live like humans is the problem. Lol it kind of does when u step back too.

  3. Those examples like siri are not AI (yet), those platforms didnt learn to tell you the weather. They were programmed.
    And dont want to make panic, but We shouldnt ignore the dangers of AI.

  4. However, the truth is, in terms of human's work, most of them are repetitive not creative at this moment.

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  6. Very very useful video. This was so easy to understand. You guys just earned a sub and a like! 🙂

  7. Nice video. AI is finally here!
    This website is more simple to let you know what is Artificial Intelligence.
    http://bit.ly/ailatte

  8. We need to make the telle and the ekg machine together and more in depth for diagnosing heart problems more information and intelligence

  9. This video is rlly helpfully if u need it for school I have a speaking competition and I found it rlly helpfully for info

  10. Great explainer video on AI. Check out this comprehensive article on Artificial Intelligence https://enpointer.com/blog/what-is-artificial-intelligence/

  11. Top 5 Reasons How AI is Changing the Game of Digital Marketing check here: http://www.brbrains.in/artificial-intelligence-changing-game-digital-marketing/

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  13. Not worried about the A.I. Worried about the person controlling the "robots." Just like guns are NOT inherently evil. Men can be. I feel like their is a lot of hype concerning this. Humans cannot create life like that.

  14. Hi i am Korean. I am very interested about your video. It's very useful. I don't about AI well. But your video make me to understand the standard intellegence about AI. So i want to share with my friends who want to know about AI. So i want to make subtitle in Korean. So can you make the settle to comment the subtitle for me and my friends ..? I am waiting your answer 🙂

  15. how does a computer analyze the sound waves of someone's voice & understand that each particular sequence of waves is a "word". Is there data that exists showing the waves produced by the word 'purple', for example, can only contain a maximum of x values in a range y? Is there some kind of mathematical relationship between the human tonal ranges and the possibilities of words that can be said, that's fed into the computer? Or is it more simple than that? im confused.

  16. Good for supper beginers….."be humen" is kind of very stubborn and unrealistic statement since almost everybody sees how fast narrow AI ,infant AGI(alphago zero) are evolving…. fully autonomous AGI seems very close and then singularity(endless speedy replication of intelligence which resembels almost to god…..) so i would rather say" be supper humen" by merging with AI before it leaves you zillions of miles behind……

  17. She never answers the question. She brings up terminator and how different fantasy ai is to real ai the entire video. She only kind of describes what ai is 4 minutes into the video

  18. I'm not a fan of the language used to describe AI and Machine Learning. There is no actual consciousness or intelligence behind it, the algorithms don't get "smarter". An AI algorithm used to, say, identify sheep on pictures might run through millions of examples of sheep pictures and still classify a picture of a bus stop as a "sheep" because a certain collection of pixels on the picture of the bus stop looks like a certain collection of pixels found on several of the sheep-pictures. The algorithm will never consciously know what a sheep or bus stop is.
    Heck, its hard to avoid such personifications, even among professionals. I'd just like for everyone to stay conscious of the fact and remember that the programmers and Data Scientists behind the algorithms have a bigger impact on the results than what most people believe.

  19. If you want to scare people from understanding, this is the video to watch!. Little can a person who is afraid of 'robots taking over' trust Ai and all the immense benefits it brings. In simple put, the Computers can give solutions to problems based on history of data learned and programmed to do. Not by themselves.

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  21. this is fucking brilliant . theres so many comments about robots taking over the world. open your mind. take this concept into an eCommerce platform and google analytics seems the infant amongst vast potential. robots arent going to take over the world any time soon. but you a fool to think they havent arrived.

  22. It's my job to know all about this and she's absolutely correct but at the end of the day when the robots will take your job off you what the hell are you going to do that's the big master question of the future

  23. 'NEUON is an AI company specialising in computer vision, machine learning, and internet of thing. Its core business includes developing their very own in house deep neural network models customised for various customer needs.
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  24. wena las cauros tai vio k la mitad de las reproducciones son de los giles del Orione cualquier wa yo el shishi

  25. Ironic that she says we don't have to worry about machines taking over the world but then spends the last two minutes explaining how machines use algorithms to learn new processes and improve their logic and thinking. What do you think will happen in 10 years?

  26. Thanks for the information! What a great video to understand the relationship between AI and machine learning.

  27. Great video! Love the animations, very high quality and also the content specially in such a blurry term like AI 😀

  28. Excellent video. This will be my go to video when I need to explain to people why they shouldn't be afraid of AI.

  29. Sorry the last part of your video is far from accurate. That is short-term. In the long-term human jobs will be indefinitely be replaced with Narrow AI. We would need a new economical structure. If we’re speaking about general AI, yeah this kind of AI is an existential threat to the human species and is no laughing matter. The first digitally conscious being plugged into the internet would have all the knowledge of the human race and arms and legs that span the globe and even space. It would also have access to all manners of weapons of mass destruction and access to all machinery linked to the internet. Even pulling the plug would not be enough because it could copy itself billions of times into billions if not trillions of computers.

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