road with palm trees and cars parked on the side

Researchers at Stanford have been able to train a machine learning model to identify cars in Google Street View images, and then identify car make and model as well as glean other information from the neighborhood photos. With the power of 50 million images processed, they then use another model to predict the demographics of your neighborhood, which include income, race, and education—and even likely voting patterns.


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Empty courtroom

Sometimes, it’s hard to say what makes you think someone is lying to you. Was it a slight flick of the eyelid, an almost imperceptible tremor of the lip, an ever-so-slight flush of the face? But when there’s more at stake than the result of a little white lie—like the wrong person begin convicted of a crime—you have to rely on more than a perception. Upping the lie-detecting ante, a research group tested a computer vision application on videos of truth-tellers and liars on the stand in the courtroom to see how well it could tell when a person was or wasn’t lying, and it was accurate nearly 90 percent of the time—beating humans significantly at the task, though, it’s probably important to mention that the video was tested on actors.

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Portrait of two beautiful young girlfriends sitting in modern coffee shop interior and talking with happy smiles. Successful attractive women friends chatting in cafe during coffee break.

In an effort to provide better subtitles, researchers created this AI tool that reads lips better than lip-reading professionals and other automated programs. Since this new AI trained on 5,000 hours of BBC, it has a larger vocabulary and more complex grammar knowledge than prior automated lip-reading programs. And there are some very interesting implications: maybe Siri won’t need to hear your voice to listen to your commands, and who knows, now you may not need audio to understand what your tour guide in a noisy cathedral is saying.

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