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Yahoo!

Yahoo Open Sources a Deep Learning Model For Classifying Pornographic Images (venturebeat.com) 100

New submitter OWCareers writes: Yahoo today announced its latest open-source release: a model that can figure out if images are specifically pornographic in nature. The system uses a type of artificial intelligence called deep learning, which involves training artificial neural networks on lots of data (like dirty images) and getting them to make inferences about new data. The model that's now available on GitHub under a BSD 2-Clause license comes pre-trained, so users only have to fine-tune it if they so choose. The model works with the widely used Caffe open source deep learning framework. The team trained the model using its now open source CaffeOnSpark system.
The new model could be interesting to look at for developers maintaining applications like Instagram and Pinterest that are keen to minimize smut. Search engine operators like Google and Microsoft might also want to check out what's under the hood here.
The tool gives images a score between 0 to 1 on how NSFW the pictures look. The official blog post from Yahoo outlines several examples.
China

The Smog-Sucking Tower Has Arrived in China (vice.com) 148

Jamie Fullerton, reporting for Motherboard:Daan Roosegaarde reached into the pocket of his suit jacket, pulled out a plastic bag filled with black powder, and waved it around. "This is Beijing smog," Roosegaarde said, before gesturing to the seven-metre tall, gently humming metal tower we are stood next to in the Chinese capital's art district, 798. "We collected it from the tower yesterday. Incredibly disgusting." Dutch designer Roosegaarde's smog souvenir may be disgusting, but it's the byproduct of an invention that he has touted as a potential alleviator of China's pollution problems. His "smog-free tower" sucks air, filters it with ion technology, with Roosegaarde having explained: "By charging the Smog Free Tower with a small positive current, an electrode will send positive ions into the air. These ions will attach themselves to fine dust particles. A negatively charged surface -- the counter electrode -- will then draw the positive ions in, together with the fine dust particles. The fine dust "is collected together with the ions and stored inside of the tower." With the dust collected, the tower then spews out cleaner air through vents, creating a "bubble" in the area surrounding it that contains, according to Roosegaarde, up to 70 percent fewer pollution particles than the pre-cleaned air.

Comment Cg42 wins maths (Score 5, Funny) 245

Cg42 expects each customer to be an average loss of $1,248 annually, and losses to approach $1 billion over the year. Cg42 also found that the average cord-cutter saves $104 per month by canceling.

And after further investigation, Cg42 has discovered there are 12 months in a year.

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