What is the relationship between automatic music composition and the organization of museums of tomorrow? Artificial intelligence (AI) pervades the  field of art and questions our creativity. To learn more about this field, we met Grégory Labrousse, a French businessman who created a tech company with  Pierre Lescure, the founder of the Festival de Cannes.

In the last few years, AI art has proliferated. Some AI algorithms can recreate an image in a painter’s style, some can improvise a track alongside a human  musician on stage and some can even write a story presenting the reader as hero. Are they as creative or imaginative as humans? Unlike humans, they have a  limited degree of functional autonomy and are capable of performing only one function. For example, an AI that’s dedicated to writing will not paint a picture.  Mark Riedl, research professor at the Georgia Tech School of nteractive  Computing and director of the Entertainment Intelligence Lab throws some light  on the issue of AI creativity. When asked by Le Monde, he says: “We are creative  when we play Pictionary, when we use a trombone to repair a pair of glasses or when we find another route to go home if a road is closed. Computers already  have this kind of creativity.” Grégory Labrousse, founder and CEO at nam.R, a company dealing with data, AI and energy efficiency, further explains: “Every imagina-on is seen as the recombina-on of the elements from pre-exis-ng memory”. This is the underlying principle of how AI creates artistic content.

– Sheherazade IF (for Interactive Fiction) relies on an existing body of text to create its own narrative schemas. It interacts with the reader who gives it the directions to follow and model the books making you the hero.
– EMI and Emily Howell are two AI ‘sisters’: EMI composes music that’s  inspired from the work of human composers and also proposes variations.  Emily Howell uses EMI’s compositions to produce its own musical  compositions.
– Shimon analyzed the improvisational techniques used by pianist Thelonious Monk and it can accompany a live musician with consistent melodies.

AI programs create artistic trend?

Machine learning researchers and artists are also found in the field of imaging. There are painting-inspired IT innovations: Pikazo and Deep Art continue the  tradition of pastiche by allowing reproducing any image ‘in the style of’ other.  There’s no painter or trend that’s not covered by these apps. Deep Dream, a  Google product that aims to be\er classify images on the basis of their analysis, has even launched a creative stream. This AI can recognize and highlight the  human and animal forms in an image. On their blog, their team of engineers has explained the principle of this program. The instruction given is “whatever you see, we want more! If a cloud looks a bit like bird, the [program] will make it look even more like bird.” The psychedelic renderings fascinate web users who love experimenting with this online simulator.

Re-visiting the collections with computer vision

Awarded by Tate Modern, the Italian project Recognition bridges the gap between image recognition and collection management. It screens 1000 photographs a day, supplied by Reuters, and tries to match them with 30,000 artworks in the London museum based on similarities in composition, faces or objects. The ‘matches’ are exhibited in an online gallery, offering an unprecedented perspective on our past and modern representations.

Contrary to the popular fear, AI is not intended to replace artists. Always open to  innovation, artists can use AI programs as creative assistants who can accompany them beyond their cognitive abilities.

Learn more about nam.R and Grégory Labrousse, follow them!

Company website: https://www.namr.com
Twitter : @G_Labrousse / @namr_france
LinkedIn : @nam.R
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