We’ve heard many predictions of how robots will take over the monotonous functions of our daily lives, freeing us to work on highly-skilled or creative tasks. But in fact the opposite may be happening: Some of the easiest tasks to automate turn out to be creative ones, and many of the montonous jobs we’d really like to automate are proving very tricky.

Since the early 2000s, the University of London’s The Painting Fool program has created artwork, much of which has been featured in prominent galleries alongside human-created art. Neural networks such as DeepStyle or Prisma use convolutional neural networks to stylize photos after the work of a specific artist. Logo generation systems like Withoomph, Tailor Brands, and Logojoy, use partially- or fully-automated systems to generate logos based on keywords.

Researchers have also applied these processes to music.

Read more: Robots aren’t automating the jobs we want them to | VentureBeat

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Published by Mike Rawson

Mike Rawson has recently re-awoken a long-standing interest in robots and our automated future. He lives in London with a single android - a temperamental vacuum cleaner - but is looking forward to getting more cyborgs soon.

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Robots aren’t automating the jobs we want them to | VentureBeat…

by Mike Rawson time to read: 1 min
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