MIT researchers have demonstrated an algorithm that analyzes photos of a real world scene and then generates an incredibly-effective camouflage pattern to wrap objects later placed in that location. From MIT News:
According to Andrew Owens, an MIT graduate student in electrical engineering and computer science and lead author on the new paper, the problem of disguising objects in a scene is, to some degree, the inverse of the problem of object detection, a major area of research in computer vision.
"Often these algorithms work by searching for specific cues — for example they might look for the contours of the object, or for distinctive textures." Owens says. "With camouflage, you want to avoid these cues — you don't want the object's contours to be visible or for its texture to be very distinctive. Conceptually, a cue that would be good for detecting an object is something that you want to remove.”
Snowshoe spam has a “small footprint” — it is sent is small, semi-targeted batches intended to sit below the trigger threshold for cloud-email spam filters, which treat floods of identical (or near-identical) messages as a solid indicator of spam.
Cops covertly buy stolen cards from underground sites to figure out where they came from, and so these sites implement security measures that try to figure out whether a purchaser is an undercover cop, and refuse to sell to them if they trip a positive result.
Earlier today, in a feature on the science behind gun policies, I told you about how difficult it is to get reliable answers that pinpoint exactly what helps society and what hurts it. Models — computer algorithms that help us understand how complex systems work — play a role in this, but the ones used […]
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Jared Sinclair developed the RSS reader app Unread, which made $10,000 in its first 24 hours on the iOS market. And we’ve all heard the story of Flappy Bird developer Dong Nguyen, whose creation was reportedly earning $50,000 a day at the height of its 2013 explosion. While those are rare examples, they’re also testament to the […]