Understanding the impact of artificial intelligence on music and arts

Music waves

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI.

The robots are coming for your job—that’s the general perception of where artificial intelligence is headed today. While that is (in my opinion—and that of many others) an overblown statement for the moment, it’s true that AI algorithms are transforming the employment landscape and changing the way we’re performing tasks.

However, some domains are considered of purely human nature and less threatened by AI disruption. Naturally, creative arts, music and painting are among the first candidates that come to mind. And to some extent, this assessment is true. Artificial intelligence has a ways to go before it yields the next Mozart, Bach or Da Vinci. Continue reading

Advertisements

What is machine learning?

This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI.

I was nine years old when I had my first taste of programming, and fell in love with the art (yes, I believe programming is as much art as it is science). I quickly became fascinated with how I could control the flow of my programs by setting logical rules and conditions, if…else statements, switches, loops and more.

In later years, I learned to remove clutter from my code by creating modules and abstracting pieces of code into functions and classes. I enhanced my software development skills with object oriented analysis and design (OOA/D). I learned code reuse and design patterns. I learned to express my program in UML charts and diagrams. And I learned to apply those principles in nearly a dozen programming languages.

But the rule of thumb of programming remained the same: Defining the rules and logic. The rest were just tricks that helped facilitate the implementation and maintenance of those rules. Continue reading

Why is edge AI important?

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI.

Imagine having to run to your local library and flip through the pages of an encyclopedia every time you saw a dog or cat in the street and wanted to know what its species is. That is pretty much how artificial applications function currently.

Artificial intelligence can predict stocks, diagnose patients, hire job applicants, play the games of chess and go, and do many more tasks on par or better than humans. Humans still have an advantage however: They have intelligence at the edge. Continue reading

What is the future of artificial intelligence?

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI.

Where will humans fit in a world where robots outsmart them? This is the focus of a heated debate between thought leaders and tech billionaires.

Some believe we’re steadily meandering toward an AI apocalypse, where humans are either obliterated or enslaved by robots, and we must act quickly to prevent it. Others will tell you that artificial intelligence will always be the subservient best friend of mankind, even when it outwits its creators, and we should move ahead with developing AI at full speed. Continue reading

What is Narrow, General and Super Artificial Intelligence

This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI.

If you’re living on this planet, you probably hear a lot about Artificial Intelligence these days. It’s conquering every industry and domain, performing tasks more efficiently than humans, will put humans out of work, and may one day force humans into slavery. You might have also heard about narrow, general and super artificial intelligence, or about machine learning, deep learning, reinforced learning, supervised and unsupervised learning, neural networks, Bayesian networks and a whole lot of other confusing terms.

That’s a lot of jargon to cover in one post, and we’ll leave the learning stuff for another day. In this post, we’ll try to define what AI is (and isn’t maybe) and what are the three main known flavors of AI. Continue reading