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tv   Shift  Deutsche Welle  March 13, 2021 7:15am-7:31am CET

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3 continents painting these giant linked hands here's his latest from dana. why are people forced to hide in trucks. there are many play. lists there are many cancer claims.
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and there are many stories. to make up your. claim. made for minds. can artificial intelligence create art on par with masters like rembrandt and can we even consider at this genuine art in this episode also you ai generated artworks and the software used to make them can artificial intelligence be creative our topic today on shift.
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artificial intelligence has become so advanced it can even be used. from paintings into animations or sketches into photo realistic portraits but ken ai systems become artists and they're all right with genuine creativity here's about robots a few things i am not very creative yet but i would love to be considered an artist one day an ambitious goal for a robot and maybe not all that unrealistic after all so fierce robel peer altered 3 . orchestras c. and human aid is turning heads in the art world. well robots soon replace human artists the british team behind a desk wants us to think hard about these technologies ethical implications is certainly not going to be putting anybody out of any job because just like other technologies come into place like the camera they were it in the 85th is that the camera was going to take a little they didn't beta has
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a camera eyes that record her surroundings the rhythms then process this information and forward it to her robotic arm which then sketches portraits the robot combines human interaction with machine learning the so-called human in the loop approach to make art the outlook is very creative one of the astonishing things about. the algorithmic nature of it means that we actually don't know what the output is going to be we don't know what the dog is going to look like and it generally has a surprising value which it when you see in the work a study by computer scientist ahmed found that when it comes to abstract art we struggle to discern whether a piece is human or machine make. music so when folks who are prime human cannot go we're going to use was done by a human. for example this is human made this piece is a high art created by ahmed held gamez creative adversarial network or i can this
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runs to neuronal networks a judge discriminator module that decides when the outcome is novel but still is that a good pleasing to us and a creator generator module that makes the piece. after this little question i basically don't think the machines need but so is. human creation if you think of the whole concept of grabbing the machine that's. who then should be credit for machine made artworks the ai system programmers or master painters like picasso rembrandt and van gogh. whose artworks were used to train the systems and beyond authorship there's the question of money. art by the robot ada has been sold for over 1000000 euros. in 2018 and a i generated portrait of the made up gentleman edmund development sold at christie's
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for around 380000 euros the algorithm had been trained with portrait painting. the french collective obvious supplied a fictitious develop the family tree. golden frames and signed the painting with the algorithm and received all the money. if you would like to buy a i generated our dear self the art gallery platform has plenty of moderately priced originals and algorithms supply new ai artworks every day the platform creators want to democratize this new art form all of this raises questions such as what makes art art how much it cost and what does it take for an artwork to move us . critics say algorithmic art is just a marketing ploy designed to make money they say creativity can only come from the human mind but others argue that ai can help us expand our imagination we asked yet
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for his view he has the center for humans and machines at berlin's max planck institute for human development. to believe it's really up to you like to determine whether this is creative genius or cheating but i do think that a new kind of artist is emerging who understands this kind of and you meet you and is able to wield it in creative ways one painter who does just this is roman lipski he uses an algorithmic assistant to enhance his creative output. the most at least . that music is an. rhythm it's a program that serves me in generating new variations on my own art calls. the muse helps artist develop his painting. lipski teamed up with data scientists slowly and don't mind who wrote the program for the painter
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that analyzes his technique color use and composition. it suggests new pictures based on that information. and it is that's to. result in that lee a matrix of numbers so you can think of the muse as a very clever number generator because it can determine the color values of images in such a way that something novel and exciting is created. 14 years or less and canada moves on for the heart of the muse is a pre-trained neural network that was originally developed to distinguish cats from dogs and recognize different objects on pictures a few years ago researchers discovered that such a pre-trained neural network can be used to extract certain features such as brightness colors shapes and even style from images. all spit on success lipski always wanted to paint abstract pictures and it wasn't until he worked with
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program that he was happy with his output he said his paintings have become more colorful expressive and bold also thanks to the computer generated images he didn't want to move the i'm in a kind of dialogue with the music in a loop and we influence each other. the digital images inspire me to evolve systems because i see the muse as only a tool was and it will never replace me. what a cool collaboration and there are plenty more out there i artists as an organisation that brings together creative types with a lot for tech like alexander raven he uses highly advanced g p $23.00 neural networks to generate descriptions of artworks he then creates actual art based on these the world of music also offers fantastic scope for collaboration between human and machine.
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the installation meandering river seen here in berlin seaters algorithm generated images of rivers and ai piano music. human piano players spent hours improvising to the abstract river trajectories. their music was used to train the ai system which improvises to the footage in the exhibition. christiane no such has grown accustomed to working with ai this group is. it feels as if this is another instrument in fact i'd even say it feels like there's another musician sitting beside you and you have to work with but you need to get to know this musician and figure out how to collaborate with both of them from the. products offer similar parks c.e.o. my ackerman developed lyrics studio a piece of software that assists seasoned musicians can beginners in writing song lyrics the program makes suggestions for the next lines based on
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a user specific style. musician have been collaborating with each other on writing songs for centuries that's a normal way to write songs in the future to some degree already right now that are another collaborator where people are worried where people are weary if they don't want a right of control but it really doesn't have. it's all about her design the system . the app elisia make suggestions for the musical composition one of ackerman's university colleagues used it to compose an italian opera without any prior musical training. here elisia was trained using works by the italian composer just come up with. the ai then helped write the putsch in the lake area set in the computer game world of warcraft if
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a person manages to write songs in the style of football or any other composer we would think of it as quite creative but then when a computer does it make sense doubt it well maybe that's not creative enough. usenet is another air system it's able to generate compositions reminiscent of musical greats like show paul or mozart. and. listen to a piece of music that is accomplished by an ai since it is able to examine responses because be exactly. does not understand our emotions news not even used to complete unfinished 10th symphony. fancy playing around with the basic version of news that yourself will show you how to unleash your inner composer and experiment with other fun as well. the open ai blog post a basic version is muse net you can select an artist like mozart and
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a song by adele for example and let the algorithms used both styles in the advanced settings you can also generate brand new songs and add additional instruments. lets you play a piano duet with an ai we found it sounded best when. one after another. this is go get the program using a generated adversarial network it will transform your sketches and doodles into photo realistic images. while deep art will give your holiday snaps an artsy make over inspired by some of the world's most famous
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painters this technology is based on a neural styled transfer algorithm. and then there's to decide which turns a photo of you into a comic version of yourself. well that does somewhat resemble me don't you think all these clever algorithms are trained using preexisting human artworks usually the data used is based on western art more diversity in these data sets with certainly booze the creativity even further so what do you make of ai generated art think it's simply a bad imitation of human art or do you think this technology can broaden our imagination in any case i think all art lies in the eye of the beholder and that there's great potential to boost creativity with technology we even interviewed the robot 8 about this you can find the video on our you tube channel as always let us know your thoughts so you soon goodbye.
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