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

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What is the internet of things?

There are now computers in everything, or put another way, everything is now a computer. That’s how cybersecurity expert Bruce Schneier described the internet of things (IoT) at a House hearing last year following a major cyberattack on DNS provider Dyn.

As Schneier further explained in the same hearing, a phone is a computer that makes phone calls; a refrigerator is a computer that keeps things cold; an ATM machine is a computer with money inside; a car is not a mechanical device with computers, but a computer with four wheels and an engine.

And all of those computers are connected to the internet, thus the name internet of things. In a nutshell, the internet of things is the world wide web reaching beyond the virtual world of desktop and laptop computers and becoming integrated into the physical world. Continue reading

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

Rob High: The future of AI-powered chatbots

 

Rob High IBM Watson CTO

Rob High, Chief Technology Officer at IBM Watson

Since their first appearance decades ago, chatbots have come a long way thanks to leaps in natural language processing and generation (NLP/NLG), the branches of artificial intelligence that enable us to interact with computers in a conversational manner. Today AI-powered chatbots have established a prominent role in various fields, including customer service, healthcare, banking and more.

Meanwhile, the technologies that power chatbot assistants are growing smarter and more efficient. I had a chance to talk with Rob High, Chief Technology Officer at IBM Watson, on the evolution of chatbots and where the trend is leading to. He shared some very interesting insights on the prospects and challenges that lie ahead. 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

Do you want AI to solve a marketing, business or operational challenge?

By Matt Jones, Tessella

Most articles about artificial intelligence start with big claims. ‘AI will change the world’; ‘Here are some exciting examples of AI’.

These are all legitimate starting points, but fewer words are spent understanding what contemporary AI really is, and who can benefit from it. An uninformed observer could be forgiven for thinking AI is a new technology that you can buy as part of a platform and simply plug into your business and become the next digital company of the future.

Most technology is quite complicated. And AI is ‘quite complicated’ multiplied. If a business wants to really take advantage of AI, they need to stop worrying about what the latest, cool AI gadget or platform will be and start thinking about what an AI toolset can do for the specific problems facing their enterprise. Continue reading