
From Corey Killgannon for the New York Times: “Thomas Fitzpatrick turned a barroom bet into a feat of aeronautic wonder by stealing a plane from a New Jersey airport and landing it on St. Nicholas Avenue in northern Manhattan, in front of the bar where he had been drinking. As if that were not stupefying enough, the man did nearly the exact same thing two years later. Both landings were pulled off in incredibly narrow landing areas, in the dark – and after a night of drinking in Washington Heights taverns and with a well-lubricated pilot at the controls. Both times ended with Mr. Fitzpatrick charged with wrongdoing. The first of his flights was around 3 a.m. on Sept. 30, 1956, when Mr. Fitzpatrick, then 26, borrowed a single-engine plane from the Teterboro School of Aeronautics in New Jersey and landed on St. Nicholas Avenue near 191st Street.”
Researchers say they can “see” people through walls using WiFi signals and AI

From Samantha Cole for Vice: “Researchers at Carnegie Mellon University developed a method for detecting the three dimensional shape and movements of human bodies in a room, using only WiFi routers. To do this, they used DensePose, a system for mapping all of the pixels on the surface of a human body in a photo. DensePose was developed by London-based researchers and Facebook’s AI researchers. From there, according to their recently-uploaded preprint paper published on arXiv, they developed a deep neural network that maps WiFi signals’ phase and amplitude sent and received by routers to coordinates on human bodies. The Carnegie Mellon researchers wrote that they believe WiFi signals “can serve as a ubiquitous substitute” for normal RGB cameras, when it comes to “sensing” people in a room. Using WiFi, they wrote, overcomes obstacles like poor lighting and occlusion that regular camera lenses face.”
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