From: Don’t Blame Us If You Waste Your Day With This Neural Network Drawing Tool
To demonstrate how machine learning works, one Dutch radio station has trained a neural network on hundreds of drawings and images of one of its reporters. When you draw a face, the program translates your sketch into what’s supposed to be a photorealistic image, based on its database of drawings of reporter Lara Rense. But the results are generally horrifying, mixing fleshy shapes with dark hair to create monstrous images that resemble a distorted human face.
This approach could be used for a lot of different things. One of them could be creating highly sophisticated artworks through AI with just a very simple sketch provided by humans.
From: Google’s AI Proves That Your Drawings Look Like Everyone Else’s
In November 2016, Google released a cute little game called Quick, Draw! on its AI Experiments website, where it showcases fun or unusual AI experiments for consumers. Quick, Draw! challenged you to draw–in 20 seconds or less–items ranging from tennis rackets and wine glasses to yoga and the Mona Lisa, all for the purpose of advancing machine learning research.
Since then, 15 million people have generated 50 million drawings–what Google is calling “the world’s largest doodling data set”–that are now available for researchers, artists, and designers to use in training algorithms to do things like distinguish a scribble of a boomerang from a doodle of an elbow.
…certain objects seem to share certain unalienable details.
An image of an old-fashioned, antennaed TV is far more visually dynamic and easier to understand than a drawing of the flat, nondescript boxes that serve as televisions in many households today.
Maybe machine learning algorithms will only learn to recognize drawings of 1950s televisions as a result.
If AIs learn from us, and the large majority of us represent ideas in the same way, what will happen to creativity when AI will start drawing?
From Aiva is the first AI to Officially be Recognised as a Composer
Founded in 2016 by Pierre Barreau, Denis Shtefan, Arnaud Decker, and Vincent Barreau, Aiva Technologies is one of the leading startups in this field and their music composing AI, called Aiva (Artificial Intelligence Virtual Artist), has been officially recognised by SACEM, France and Luxembourg authors’ right society, as a composer.
This means it can now release music under its own name, and Aiva is the first AI ever to be given this status. It marks an important milestone in the progression of AI in areas deemed too emotionally driven for algorithms to comprehend.a
Aiva compositions are on SoundCloud. Incredible.