AI’s apparent inability to generate interesting and unique images and videos is becoming harder to ignore.
- Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
AI-mediated culture is already being filtered in ways that favor the familiar, the describable and the conventional.
Visual artists draw from visual references, not words, as they imagine their work. So when language is in the driver’s seat of making art, it erects a barrier between the artist and the canvas.
Beethoven est mort en ne laissant de sa dixième symphonie que des ébauches. Aujourd’hui, grâce à l’intelligence artificielle, la vision du compositeur prend vie.
Plus, how a team of musicologists and computer scientists completed Beethoven’s unfinished 10th Symphony using AI. Listen to The Conversation Weekly podcast.
Cuando Beethoven murió, lo único que dejó fueron algunos bocetos de su 10ª Sinfonía. Ahora, gracias a la ayuda de la inteligencia artificial, la visión del compositor cobra vida.
When Beethoven died, all he left behind were some sketches for his 10th Symphony. Now, thanks to the help of artificial intelligence, the composer’s vision is coming to life.
Un algoritmo llamado AICAN ha aprendido todo el canon de la historia del arte occidental y ahora crea, nombra y vende sus propias obras.
An algorithm named AICAN has been ‘taught’ the entire canon of Western art history – and now produces, titles and sells works of its own.
Later this month, Christie’s will be auctioning its first piece of AI art – a portrait created via machine learning.
Humans are no longer the only judges of creativity. Computers can perform the same task – and may even be more objective.
I was the lead of a team of computer scientists at Rutgers that published a paper this past August titled, “Toward Automated Discovery of Artistic Influence.” In that paper we reported on our research…
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