- Elements of Style: Learning Perceptual Shape Style Similarity — code and data for research that helps perceive stylistic similarity between objects that transcends structure and function. For example, we can see a common style such as “Danish modern” in both a table and chair, though they have different structures. Until now, machines have found it difficult to do the same. (That quote cribbed from the phys.org writeup) Our new AI overlords may be cruel and heartless, but they’ll be able to tell Danish Modern from Shaker.
- The Advent of Artisinal Cash (NY Times) — details the rise of local physical currency around the world. Nonetheless, the use of traditional paper money is clearly on the wane. Perhaps these smaller, more attractive artisanal paper notes are merely last bursts of glory before it disappears entirely. Though as Mr. Deller, the artist behind the latest Brixton pound, said, “As long as there are drug deals and criminality, there’ll be a need for cash.”
- Documentation at Scale — 1. Acknowledge that brute force doesn’t work; 2. Make documentation a first class citizen; 3. Make documentation executable; 4. Track the intent.
- Exposure to Ideologically Diverse Information on Facebook (Facebook Research) — Friends shared substantially less cross-cutting news from sources aligned with an opposing ideology. People encountered roughly 15% less cross-cutting content in news feeds due to algorithmic ranking and clicked through to 70% less of this cross-cutting content. Within the domain of political news encountered in social media, selective exposure appears to drive attention.
"computer vision" entries
An interview with Andreas Mueller, on scikit-learn and usable machine learning software.
Mueller wears many hats at work. He is one of the key maintainers of the popular Python machine learning library scikit-learn. Holding a doctorate in computer vision from the University of Bonn in Germany, he currently works on open science at New York University’s Center for Data Science. He speaks at conferences around the world and has a fanbase of 5,000+ followers on Twitter and about as many reputation points on Stack Overflow. In other words, this man has got mad street cred. He started out doing pure math in academia, and has now achieved software developer cult idol status. Read more…