Instead of considering AI as replacing human imagination, it’s beneficial to analyze ways that AI can be utilized as a tool to augment human creativity. Here are several examples of how AI fosters the creativity of humans in art, music, dancing, style, recipe construction, and publishing.
Art
From the sphere of visual art, AI is creating an impact in a lot of ways. It can change current artists such as the case when it created the Mona Lisa a dwelling portrait a la Harry Potter, make likenesses that seem to be real humans which can be located on the site ThisPersonDoesNotExist.com and even create original works of art.
When Christie’s auctioned off a piece of AI art titled the Portrait of Edmond p Belamy for $432,500, it became the first auction house to do so. The AI algorithm, a generative adversarial network (GAN) developed with a Paris-based collective, which generated the art, was fed a data collection of 15,000 portraits covering six centuries to inform its creativity.
She is equipped with facial recognition technology and a robotic arm system that’s powered by artificial intelligence.
More eccentric art is also a capability of artificial intelligence. Algorithms may read recipes and create images of what the last dish will look like. Dreamscope by Google uses traditional pictures of people, places, and things and runs them through a series of filters. The output is truly original, albeit occasionally the stuff of nightmares.
Music
If AI can enhance creativity in visual art, can it do the same for musicians? David Cope has spent the past 30 years working on Experiments in Musical Intelligence or EMI. Cope is a traditional musician and composer but turned to computers to help get beyond the composer’s block back in 1982. Since that moment, his calculations have produced numerous original compositions in a variety of genres as well as created Emily Howell, an AI that can compose music based on her style instead of just replicate the designs of yesterday’s composers.
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Oftentimes, AI is a new collaborator for today’s popular musicians. Sony’s Flow Machine along with IBM’s Watson are just a couple of the tools music manufacturers, YouTubers, along with other artists are relying on to churn out today’s hits. Alex Da Kid, a Grammy-nominated producer, utilized IBM’s Watson to notify his creative process. The AI analyzed the”emotional temperature” of the time by scratching conversations, newspapers, and headlines within a five-year interval. Then Alex utilized the analytics to determine the theme for his next.
Another tool that adopts machine and human cooperation, AIVA bills itself as a”creative assistant for creative people” and uses AI and deep learning algorithms to assist write music.
In addition to writing music, artificial intelligence is transforming the music industry in a variety of ways from distribution to audio mastering and even creating digital pop stars. An autumn singer called Yona, developed by Iranian electronica composer Ash Koosha creates and plays music like the song Oblivious through AI algorithms.
Dance and Choreography
A potent way dance choreographers have been able to break from their routine patterns is to use artificial intelligence for a collaborator. Wayne McGregor, the award-winning British choreographer, and director is known for utilizing technology in his job and is particularly fascinated by how AI can enhance what’s done together with the choreography at a project with Google Arts & Culture Lab. Countless hours of movie footage of dancers representing human styles were fed to the algorithm. The objective is not to replace the choreographer but to effectively iterate and create different choreography choices.
Another innovative endeavor AI is proving to be more adept at is commercial design. The Chair Project is another collaboration that explores co-creativity between machines and people.
Recipes
The originality of AI is also altering the kitchen not only by altering longstanding recipes but also creating entirely new food mixtures in collaborations with some of the greatest names in the food industry. Our favorite libations may also receive an AI makeover. Brewmasters’ decisions are also being educated by artificial intelligence. MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is using all those pictures of this food which we place on social networking. By utilizing computer vision, these food photographs are being examined to better understand people’s eating habits as well as to suggest meals with the food that is imagined.
Write Novels and Articles
Though the quantity of written material to inform artificial intelligence algorithms is voluminous, writing has become a challenging skill for AI to acquire. Although AI has been most effective in generating short-form formulaic content such as journalism” who, what, where, and if stories,” its abilities keep growing. AI has written a book, and neural networks generated what many could locate a weird read, it was still able to do it. And, together with the announcement that a Japanese AI program’s short-form publication almost won a nationwide literary prize, it’s easy to see how it won’t be long until AI can compete with humans to write persuasive pieces of content. Kopan Page printed Superhuman Innovation, a publication not just about artificial intelligence but has been co-written by AI. PoemPortraits is just another illustration of AI and individual cooperation at which you can provide the algorithm with one word it will use to create a brief poem.
As the world of both AI and human imagination continues to enlarge, it is time to stop fretting about whether AI can be imaginative, but the way the human and machine world may innovate for creative collaborations that have never been dreamed of before.
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