Games


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 Learns to Cheat at Hide and Seek #OpenAI #HideandSeek #MachineLearning #ArtificialIntelligence #ReinforcementLearning @OpenAI

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OpenAI recently posted on Twitter about teaching computer agents'hide and seek'. We've observed AIs discovering complex tool use while competing in a simple game of hide-and-seek. They develop a series of six distinct strategies and counter strategies, ultimately using tools in the environment to break our simulated physics. In the simulations, seekers are incentivized to maintain line of sight of hiders and hiders are incentivized to avoid line of sight from seekers. The agents environments contain various shelters including cubicles, movable partitions, blocks and ramps.


The Nintendo Switch Lite Is Ideal for Gamers on the Go

TIME - Tech

Nintendo's got a winner on its hands with the Nintendo Switch, there's no denying it. The hybrid console, whether connected to your TV at home or in your hands while you're on the go, has revitalized the company, helped spawn an indie game revival, and successfully introduced a new audience to both the company's most iconic characters as well as its newer, more experimental titles. But like the ship of Theseus, how much of the Switch can you change, replace, or remove before it becomes something else? And is the Switch Lite, Nintendo's new handheld-only version of the Switch, truly worthy of the name? I mean, come on, it doesn't even do any switching!


Fermat's Library Some Studies In Machine Learning Using the Game of Checkers annotated/explained version.

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This is his seminal paper originally published in 1959 where Samuel sets out to build a program that can learn to play the game of checkers. Checkers is an extremely complex game - as a matter of fact the game has roughly 500 billion billion possible positions - that using a brute force only approach to solve it is not satisfactory. Samuel's program was based on Claude Shannon's minimax strategy to find the best move from a given current position. In this paper he describes how a machine could look ahead "by evaluating the resulting board positions much as a human player might do".


Atari founder, governor play pong with the future of work in the artificial intelligence age

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Take it from Gov. Jared Polis, a veteran of the tech startup scene introduced as Colorado's "innovator in chief" Wednesday at a Denver Startup Week panel on the evolution of technology and its impact on everyday life. "I was just at Amazon's new facility in Thornton," Polis said. "Inside, where we used to see human-operated forklifts they have little intelligent robots that are carrying the crates around." The question now, Polis said, is how will public policy take shape around that AI technology so that it supports innovation but keeps human beings relevant in the economy going forward? Polis sat opposite Nolan Bushnell during the session.


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

#artificialintelligence

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.


How this 11-year-old entrepreneur is helping kids learn AI concepts and coding with CoderBunnyz

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A Class 6 student, Samaira Mehta already seems to be on top of her game. Of Indian origin and based in California, this 11-year-old girl in tech is an inventor, and has invented CoderBunnyz, a STEM coding board game to teach coding to kids between the age group of four and 10. Samaira has taken Silicon Valley by storm and has been a part of more than 50 conferences. She has held 60 workshops that spotlight her board game, and taught over 2,000 kids, including over 50 "Google kids" at Googleplex, Google's headquarters in Mountain View. The young girl also received a letter from the White House, from then First Lady Michelle Obama, for her work.


r/MachineLearning - [D]Strategy game neural networks perform worse than monte carlo methods?

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As far as I know, SotA for unrestricted Contract Bridge is still MC based, and relatively little progress has been made over the past 10 years. However, some papers report limited success on various restricted versions (such as bidding without competition https://arxiv.org/abs/1607.03290), and this recent paper claims to get SotA results on competitive bidding as well (https://arxiv.org/abs/1903.00900), which means that it's entirely possible that DRL-based agents will outperform existing MC-based software in the near future.