Podcast Interview with “Built to Sell Radio”
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 the image in question. Soon after, a terrific and fun app was released to the…
I have an old private blog from more than a decade ago that I’m shutting down. It was basically a semi-private journal, related to the construction of our home. It has a lot of useful photographs for me on it — i.e., in-progress construction shots, design inspiration shots, sketches and renderings, plumbing and electrical rough-ins,…
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 Learning and The Diffusion Revolution, 2014-present, introduced three basic methods for generating art via deep-learning…
Advancements in AI-generated art test our understanding of human creativity and laws around derivative art.
Asked on Quora years ago; I’ve cross-posted my answer here.
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 very good job with the curriculum. So our role as advisers is to provide a…