This is the third in a three-part series introducing revolutionary changes in AI-generated art. In Part I: AI Art Comes of Age, we traced back through some of the winding path that brought us to this point. Part II: Deep…
A revolutionary insight in 2015, plus AI work on natural language, unleashed a new wave of generative AI models.
Advancements in AI-generated art test our understanding of human creativity and laws around derivative art.
I’m working on a neural-style transfer project, and have several machine learning models trained to render input photos in particularly styles. The current set is below; input image on the left, output image on the right, with model name in…
I’ve always been fascinated by past visions of the future. Science fiction uses the future to tell us something about ourselves, so looking back on past visions of the future, we can learn something about that age and the values, myopia,…
Now that I’m knee-deep in machine learning models, I’m finding there are several times where I need to let my CPU/GPU crank away on a long-running “training” task for hours at a time, and I’d like to be able to…
In 2015, a research paper by Gatys, Ecker and Bethge posited that you could use a deep neural network to apply the artistic style of a painting to an existing image and get amazing results, as though the artist had rendered…
In WWII, researcher Abraham Wald was assigned the task of figuring out where to place more reinforcing armor on bombers. Since every extra pound meant reduced range and agility, optimizing these decisions was crucial. So he and his team looked…
I’m on a parent advisory committee at my daughter’s school. The committee is taking a look at the school’s existing Computational Thinking curriculum and where it might want to head in the future. Luckily for us, the faculty is already doing a…
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