Leisure & Entertainment


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 researchers translate language into physical movement

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Carnegie Mellon University AI researchers have created an AI agent that is able to translate words into physical movement. Called Joint Language-to-Pose, or JL2P, the approach combines natural language with 3D pose models. The pose forecasting joint embedding is trained with end-to-end curriculum learning, an approach that stresses shorter task completion sequences before moving on to harder objectives. JL2P animations are limited to stick figures today, but the ability to translate words into human-like movement can someday help humanoid robots do physical tasks in the real world or assist creatives in animating virtual characters for things like video games or movies. JL2P is in line with previous works that turn words into imagery -- like Microsoft's ObjGAN, which sketches images and storyboards from captions, Disney's AI that uses words in a script to create storyboards, and Nvidia's GauGAN, which lets users paint landscapes using paintbrushes labeled with words like "trees," "mountain," or "sky."


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".


Apple HomePod 2: rumors, news, and everything we know so far

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Could Apple be about to release the HomePod 2, a smaller version of its Siri smart speaker? That's a question we've been asking ourselves for a while now now – and while Apple's iPhone X launch event on September 12, 2018 didn't reveal what the next HomePod will look like, the HomePod 2 could finally be on the horizon. Nearly a year has passed since then, and the iPhone 11 launch saw no mention of the new Apple HomePod Mini – so, everything is pointing to a 2020 release date. The speculation is that the next version of the HomePod, the Apple HomePod 2, may be a more compact version of the original, with the name Apple HomePod Mini being rumored. According to a Bloomberg report in July 2018, Apple may have been looking to release the HomePod 2 sometime in early 2019, which would make sense based on the release date of the original HomePod – of course, it never actually materialized.


Tinder to launch choose-your-own-adventure style series that connects people based on their choices

Daily Mail - Science & tech

Swiping is no longer the only way to find matches on Tinder. In a choose-your-own-adventure style series set to be rolled out next month, users will be able to match with other dating hopefuls by clicking their way through an interactive narrative. 'Swipe Night,' as Tinder is calling it, will air on October 6 and is designed to match users based on the choices they make during a short ''first-person apocalyptic adventure.' All of the episodes will be'live', so-to-speak, with each being available for viewing only between the hours of 6 pm and midnight during a respective users' local time. The series will consist of short five-minute videos during which users are periodically given seven seconds to choose what happens next.


The Bio-Tech Merger - The Cosmic Duck Ft. Will Ireland - Electronic Music Producer

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Can artificial intelligence become an organic life form? Can it behave, or will it behave in the same way that biological life behaves? I don't think we can classify A.I. as a species, it's a technology. The only way we can make A.I conscious is to incorporate biology into it. We have to be able to integrate bacteria, microorganisms into the artificial intelligence.


Robotic excavators get a boost with $33 million for Built Robotics ZDNet

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When Built Robotics emerged out of stealth in October 2017, the company's self-driving excavators had completed a couple simple projects that included digging and moving dirt at a community garden and a California mountain bike trail. Since then, giant autonomous robots have been deployed on large commercial projects, such as digging the foundations for wind farms. The technology has also expanded to include bulldozers and skid steers, in addition to excavators. Today Built announced a $33 million Series B led by Next47, the new global venture fund backed by Siemens. This brings the company's total funding to $48 million.