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From rental assistance to flooding infrastructure, counties and cities in Northern Virginia are considering a range of options for using the influx of cash from the federal government.
From rental assistance to flooding infrastructure, counties and cities in Northern Virginia are considering a range of options for using the influx of cash from the federal government.
Have you ever walked up to someone at a cocktail party (remember those?) you thought you knew, started talking, only to realize that wasn’t who you thought it was? Chances are you have. And that alone illustrates a major challenge to a burgeoning field of artificial intelligence, facial recognition.
On one hand, lots of people use facial recognition technology several times a day when they unlock their phones. It’s fast and easy, and it works nearly all of the time. But there are other uses for facial recognition that aren’t nearly as reliable. A good example of facial recognition where it’s problematic is when facial recognition is used to identify people in crowds. This is the reverse of the recognition that takes place on your phone, where the software is comparing your face with one that’s known and stored in the phone’s memory. Facial recognition used to pick people out of crowds is more difficult.