Last month, I blogged about Relatively Prime, a beautifully produced, crowdfunded free series of math podcasts. I just listened to the episode on Chinook (MP3), the program that became the world champion of checkers.
Chinook's story is a bittersweet and moving tale, a modern account of John Henry and the steam-drill, though this version is told from the point of view of the machine and its maker, Jonathan Schaeffer, a University of Alberta scientist who led the Chinook team. Schaeffer's quest begins with an obsessive drive to beat reigning checkers champ Marion Tinsley, but as the tale unfolds, Tinsley becomes more and more sympathetic, so that by the end, I was rooting for the human.
This is one of the best technical documentaries I've heard, and I heartily recommend it to you.
The Nightmare Machine is an MIT project to use machine learning image-processing to make imagery for Hallowe’en.
The Stormtrooper Decanter is on back-order, but you can pre-order one from the next batch for £22 — it’s based on Andrew Ainsworth’s original movie helmet moulds from 1976, and will provide endless opportunities to point to lowball glasses and say things like “aren’t you a little short for a Stormtrooper drink?” (via Bonnie Burton)
Yahoo has released a machine-learning model called open_nsfw that is designed to distinguish not-safe-for-work images from worksafe ones. By tweaking the model and combining it with places-CNN, MIT’s scene-recognition model, Gabriel Goh created a bunch of machine-generated scenes that score high for both models — things that aren’t porn, but look porny.
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