Machine learning technology continues to get more and more impressive – especially when it comes to working with images. A group of researchers from China are showing off DeepFaceDrawing, an amazing piece of software which can synthesize photorealistic human faces using nothing more than a rough pencil sketch.
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Max and Dave Fleischer’s 1940s Superman cartoons are beloved. But the quality of the public domain videos online isn’t very good. Jose Argumedo ran the episode “The Bulleteers” through Waifu2x, a neural network upscaling application that recovered an incredible amount of detail, especially compared to the source video.
Machine learning tech is getting pretty good at things like object recognition, but can it write a decent song? Funk Turkey fed artificial intelligence software a bunch of AC/DC lyrics and asked it to create a new track. This is what it came up with. We’re pretty sure this AI is actually a 10-year-old boy.
Ever wonder what a Rick Astley song written by an AI might sound like? YouTuber Lil’Alien demonstrates what neural network called Jukebox came up with when asked to create more of Never Gonna Give You Up based on the data fed into its electronic brain. Play with more weird AI music on the Jukebox Sample Explorer.
With people wearing all kinds of improvised protective gear these days, an outing to the grocery store can be a strange and surreal experience. But Pouff’s trippy grocery shopping video was created back in 2015, using neural network technology which attempted to identify animal faces in places where they didn’t actually exist.
After wowing us with upscaled vintage train footage, Denis Shiryaev takes us on a tour of New York City, circa 1911. Using neural network tech, he injected extra frames to smooth out the choppy movements from this century-old slice of life film. He also boosted its resolution to 4k. We don’t care for the colorization though.
(PG-13: Language) While true artificial intelligence is a fascinating concept, most machine learning tech still uses some kind of algorithmic decision making. Ordinary Things provides a layperson’s explanation of how these systems work, and how our reliance on algorithms could make us stupider, and take our jobs in the process.
We’ve seen machines that can sort LEGO bricks before, but they’re generally limited to just a few specific shapes or colors. Daniel West’s machine is much smarter, using AI algorithms to identify and sort nearly 3,000 different LEGO shapes and colors. We think it’ll need more than 18 sorting bins to be really useful though.
Comedian Keaton Patti claims to have fed an AI system 1000 hours of footage from Batman movies (we didn’t know there were that many), and then let its tech produce a new script based on what it learned. Nerd Odyssey posted the very silly result of his efforts, with animation by C4DNerd.
Scientists from Samsung’s Moscow-based AI Research Center recently showed off “Few-Shot Adversarial Learning” tech, which can generate talking head videos from just a handful of still images, and a source video of another head. It’s so impressive, they even made the Mona Lisa talk.
Experimental band Hardcore Anal Hydrogen created a trippy and vibrant music video for their thrash metal track Jean-Pierre, created with the help of artificial intelligence tools like Deep Dream, Neutral Style Transfer, and DeepFlow. Read more about the project here.
Google’s DeepMind artificial intelligence algorithms recently were used in an experiment where a stick figure learned to walk all by itself. But Andreas Almström couldn’t leave well enough alone, and added appropriately disturbing sound effects to the silent video.
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