Seth Goldstein's Why Not machine is a glorious Rube Goldberg device that can tie (and untie) a necktie. It's a kinetic sculpture, slow and beautiful and inefficient in a way that can only be called artistic. It's headed for exhibition at the Franklin Institute Science Museum in Philadelphia. Its inventor, a retired engineer, revels in its unuselessness: "That's not something you can economically justify, but if you're a retiree, you don't have to worry about that anymore. I'm free!"
The Contraption That Can Really Tie One On
After earning four degrees at the Massachusetts Institute of Technology and working more than 40 years as a mechanical engineer -- including three decades at the National Institutes of Health designing biomedical instruments -- Goldstein decided to create Why Knot "for the hell of it."
Others have more lofty explanations, however. Tom Perry, managing director of education for the American Society of Mechanical Engineers, whose foundation provided $30,000 for the project (including $10,000 for the development of educational materials) and arranged its permanent exhibition at Sir Isaac's Loft at the Franklin Institute, believes that Why Knot forces people to confront the complexity of the human body.
"Just the mechanics it takes to reach up and scratch your forehead" is amazing, says Perry. Then you look at Goldstein's machine, and all those infrared lights and optical sensors and the 10 electric motors that propel a series of 350 laborious movements to tie and untie one standard knot -- all that shaft rotation and energy conversion, all that controlled motion and heat.
[Vanessa de la Torre/Washington Post]
(via Laughing Squid)
The Nightmare Machine is an MIT project to use machine learning image-processing to make imagery for Hallowe’en.
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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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