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Defining AI Arts: Three Proposals

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On first sight, coming with a definition for "AI arts" does not sound hard. AI (an abbreviation for the term Artificial Intelligence) refers to computers being able to perform many human-like cognitive tasks, such as playing games of chess and Go, recognizing content in images, translating between languages, selecting best candidates in a job search based on their CVs, and so on. This is how AI has been traditionally understood, and we can extend this concept to the arts. Following this logic, "AI arts" would refer to humans programing computers to create with a significant degree of autonomy new artifacts or experiences that professional members of the art world recognize as belonging to "contemporary art." Or, we can teach computers skills of artists from some earlier historical period and expect that professional art historians recognize new artifacts the computer creates as possible art from this period.


Defining AI Arts: Three Proposals

#artificialintelligence

On first sight, coming with a definition for "AI arts" does not sound hard. AI (an abbreviation for the term Artificial Intelligence) refers to computers being able to perform many human-like cognitive tasks, such as playing games of chess and Go, recognizing content in images, translating between languages, selecting best candidates in a job search based on their CVs, and so on. This is how AI has been traditionally understood, and we can extend this concept to the arts. Following this logic, "AI arts" would refer to humans programing computers to create with a significant degree of autonomy new artifacts or experiences that professional members of the art world recognize as belonging to "contemporary art." Or, we can teach computers skills of artists from some earlier historical period and expect that professional art historians recognize new artifacts the computer creates as possible art from this period.


AI in Healthcare Is Exciting, However, It Is No Reason to Overpay For It

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Eventually, many conversations about artificial intelligence (AI) include HAL. An acronym for Heuristically programmed ALgorithmic computer, HAL played a prominent and disconcerting role in Stanley Kubrick's mind-bending 1968 film 2001: A Space Odyssey. In the film, sentient computer HAL learns that the humans suspect it of being in error and will disconnect it should that error be confirmed. Of course, HAL is having none of that, and terror ensues. So influential was Kubrick's adaptation of an Arthur C. Clarke short story that HAL is now a part of the ways in which AI is often conceived.


Having mastered Space Invaders, chess, and Go, AI tackles video soccer

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Google leads the world in research on machine intelligence. Its DeepMind subsidiary, in particular, has an impressive list of achievements under its belt. DeepMind's neural networks have achieved superhuman performance in a wide range of games. These include Atari video games such as Pong, Breakout, and Space Invaders and more complex challenges such as the online multiplayer game Starcraft.


THE SEDUCTIVE BUSINESS LOGIC OF ALGORITHMS

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Certain machine behaviors never cease to amaze me. I'm astounded by their ability to learn from their accomplishments and from their interactions with we humans. Unfortunately, many business managers still think of artificial intelligence (AI) and machine learning algorithms as something that will be impossible for them to understand. But I believe that knowing the fundamental principles that underlie the new technologies behind autonomous vehicles, shopping recommendation engines, Alexa and the rest can boost managers' confidence in them and help them make their companies more innovative. The two key drivers of major smart technologies today are machine learning and deep learning.


Standing on the shoulders of giants

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When you think of AI or machine learning you may draw up images of AlphaZero or even some science fiction reference such as HAL-9000 from 2001: A Space Odyssey. However, the true forefather, who set the stage for all of this, was the great Arthur Samuel. Samuel was a computer scientist, visionary, and pioneer, who wrote the first checkers program for the IBM 701 in the early 1950s. His program, "Samuel's Checkers Program", was first shown to the general public on TV on February 24th, 1956, and the impact was so powerful that IBM stock went up 15 points overnight (a huge jump at that time). This program also helped set the stage for all the modern chess programs we have come to know so well, with features like look-ahead, an evaluation function, and a mini-max search that he would later develop into alpha-beta pruning.


How a New AI Breakthrough Could Undermine the Financial Industry's Entire Foundation

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While robots have taken many of the jobs of the manually skilled, Pluribus and its future generations are coming for the jobs at the other end of the spectrum--the brilliant, the cunning, the creative. Have we reached an artificial intelligence (AI) milestone overload? Are we so jaded about momentous breakthroughs in AI capabilities that we no longer acknowledge them with the appropriate awe AI demands? One would think so after the July performance of Carnegie Mellon and Facebook's Pluribus went virtually unnoticed. You should, because this valedictorian of machine learning is a serious threat to your livelihood.


How a New AI Breakthrough Could Undermine the Financial Industry's Entire Foundation

#artificialintelligence

While robots have taken many of the jobs of the manually skilled, Pluribus and its future generations are coming for the jobs at the other end of the spectrum--the brilliant, the cunning, the creative. Have we reached an artificial intelligence (AI) milestone overload? Are we so jaded about momentous breakthroughs in AI capabilities that we no longer acknowledge them with the appropriate awe AI demands? One would think so after the July performance of Carnegie Mellon and Facebook's Pluribus went virtually unnoticed. You should, because this valedictorian of machine learning is a serious threat to your livelihood.


Meet Five Synthetic Biology Companies Using AI To Engineer Biology – Tech Check News

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TVs and radios blare that "artificial intelligence is coming", and it will take your job and beat you at chess. But AI is already here, and it can beat you -- and the world's best -- at chess. In 2012, it was also used by Google to identify cats in YouTube videos. Today, it's the reason Teslas have Autopilot and Netflix and Spotify seem to "read your mind." Now, AI is changing the field of synthetic biology and how we engineer biology.


The 10 most important moments in AI (so far)

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This article is part of Fast Company's editorial series The New Rules of AI. More than 60 years into the era of artificial intelligence, the world's largest technology companies are just beginning to crack open what's possible with AI--and grapple with how it might change our future. Click here to read all the stories in the series. Artificial intelligence is still in its youth. But some very big things have already happened.