- For AI to Get Creative, It Must Learn the Rules—Then How to Break ‘Em: New artificial intelligence systems are using “adversarial networks” to develop creativity and originality by more fluidly mixing and matching real-world information https://www.scientificamerican.com/article/for-ai-to-get-creative-it-must-learn-the-rules-mdash-then-how-to-break-lsquo-em/ 4 comments technology
Linked pages
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- Humans Started Riding Horses 5,000 Years Ago, New Evidence Suggests - Scientific American https://www.scientificamerican.com/article/humans-started-riding-horses-5-000-years-ago-new-evidence-suggests/ 345 comments
- CycleGAN Project Page https://junyanz.github.io/CycleGAN/ 141 comments
- The Most Boring Number in the World Is ... - Scientific American https://www.scientificamerican.com/article/the-most-boring-number-in-the-world-is/ 100 comments
- Record-Breaking Boreal Fires May Be a Climate 'Time Bomb' - Scientific American https://www.scientificamerican.com/article/record-breaking-boreal-fires-may-be-a-climate-time-bomb/ 30 comments
- [1406.2661] Generative Adversarial Networks https://arxiv.org/abs/1406.2661 7 comments
- Turning a horse video into a zebra video (by CycleGAN) - YouTube https://m.youtube.com/watch?amp%3Bfeature=youtu.be&v=9reHvktowLY 3 comments
- We Must Stop Treating Grasslands as Wastelands - Scientific American https://www.scientificamerican.com/article/we-must-stop-treating-grasslands-as-wastelands/ 0 comments
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