Now, in 2017, machine learning comes on the scene and opens entirely new frontiers for nonsense-lovers. Witness this attempt to train a neural network to generate paint color names based on the contents of the Sherwin-Williams catalog (producing some names that could have come straight out of LiarTown, USA):
I wasn’t sure about machine learning before, but it’s growing on me.
Links via @golan, via @annaleen, and via the great glorious Internet, long may she reign.
Every place has a certain food that you just can’t seem to get anywhere else. For New Yorkers it’s the bagel. For the French, the croissant. Pão de Queijo (cheese bread) is that food for Brazilians. For years we’ve gotten by on packaged dough balls from the frozen section of our local Brazilian market. But this weekend we found an old recipe from a friend, and realized we had everything we needed to make it from scratch at home.
Following on last night’s breathtaking new full-color photo, we have even more exciting news to report. Pluot is finally revealing its secrets to scientific observation! Here is an artist’s rendition of what we know so far about its internal structure.
As New Horizons’ science mission reaches its suspenseful climax, researchers in Northern California are busy analyzing a flood of new data about this mysterious object. Approaching closer than ever before, we can see its dimpled contours and subtly mottled colors in unprecedented detail (click for the full resolution photo). Better yet, we have detected our first traces of the nearly spherical body’s atmosphere: a mix of tangy volatile aromatics emanating hundreds of micrometers from its surface. What an amazing day for science. Our team can’t wait to ingest all this new data!
Here’s something different: I have a new job! Today was my first day at Google Spotlight Stories. I’ll be working with some amazing filmmakers and technologists who are busy inventing a new kind of narrative visual storytelling uniquely suited to handheld mobile devices. If that sounds crazy, that’s because it is. It’s my kind of crazy. It’s exactly the kind of wild, inventive, “let’s try this and see what happens” attitude that got me interested in computer graphics in the first place, all those years ago. I couldn’t be more excited.
The video above really does a great job of capturing the delight of experiencing one of these stories for the first time. It’s almost impossible not to grin like a ninny. There’s not much more I can say about it right now, but there’s been some terrificpress about the projects they’ve created so far. I’ll share more when I can!
Inspired by this brilliant interactive demo of the perceptually uniform CIE L*a*b* color space, I decided to try a L*a*b* version of my pseudocolor scheme. I don’t find this version as pretty to look at, but it has the advantage that higher values are always mapped to colors that are perceptually brighter than lower values. In other words, if you squint at the image above, the bright and dark regions correspond pretty much exactly to what you’d see if it were greyscale. (For the L*a*b* to RGB conversion, I grabbed pseudocode from this handy page.)
I was tinkering with some GLSL shaders in Processing, and I needed a way to visualize a value that smoothly changes from 0 to 1, showing a lot more than the 256 levels of gray that you’d normally see. So I wrote a little pseudocolor function that spirals through colorspace from black to white, hitting various hues along the way. It’s fun, and pretty, and very rungy-chungy, so I thought I’d post it here.