Jonathan writes, "The Drinkable Book is a water filter and an instruction manual for how and why to clean drinking water. The drinking paper uses a thick, sturdy sheet of paper embedded with silver nanoparticles, which are lethal for microbes. Funds will go to print 1,000 Drinkable Books and distribute them in Ghana, Haiti, India, and Kenya with water nonprofit Waterislife."
Our goals include:
1) Engage local communities in protecting and cleaning their drinking water. WATERisLIFE has ties to rural communities in Ghana, Haiti, Kenya, and India, where feedback from local folks in these communities will be gathered in Fall 2014 through Winter 2015. "WATERisLIFE is a big believer in "boots on the ground," according to founder Ken Surritte. So the books will go with teams traveling to parts of Africa and India, where they'll hold educational sessions on maintaining a clean water source."
2) Theresa will also explore other filter prototype designs to determine the best way to clean water with this pAge drinking paper technology. While in South Africa, Theresa worked with Corinne, a MS engineering student from Carnegie Mellon University. Corinne has led a group of students to design an emergency water filter using pAge filters. This new filter design also shows great potential, especially for emergency response and disaster relief applications! Initial field studies on this new filter prototype will start at the end of the summer 2014.
3) The number of books needed is many more than Theresa has ever made in the lab, and the production needs to be scaled up.
The Drinkable Book
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.
This week’s top deals from the Boing Boing Store range from lobster to wine to desk organization. 1. Get Maine Lobster (50% Off)With these discounted packages from Get Maine Lobster, you can experience the sweet, fresh flavor of world-renowned Maine lobster right at your own dinner table. There are four options to choose from, each at […]
Nothing is more frustrating than needing to edit or sign a PDF and not having access to the original document. That’s why PDFpenPRO is a must-have app in our books.With this extremely useful app, you can merge, markup, and create PDF documents without ever having to convert your PDFs into word processor file formats. Type directly onto […]
From self-driving cars to stock market predicting software to the recommendations you get on Amazon and Netflix, machine learning is at the core of modern technology. You could find yourself building technology that is literally changing the world with the skills you’ll learn in The Complete Machine Learning Bundle. This bundle of 10 courses includes 406 lessons that will teach […]