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"Computers once performed facial recognition rather imprecisely, by identifying people's facial features and measuring the distances among them - a crude method that did not reliably result in matches. But recently, the technology has improved significantly, because of advances in artificial intelligence. A.I. software can analyze countless photos of people's faces and learn to make impressive predictions about which images are of the same person; the more faces it inspects, the better it gets. Clearview is deploying this approach using billions of photos from the public internet. By testing legal and ethical limits around the collection and use of those images, it has become the front-runner in the field. "

"Google's self-driving cars have driven over a million miles in autonomous mode. But when Google brought its testing program to Austin, Texas, one of the vehicles met its match: a cyclist doing a track stand - when a rider shifts very slightly forward and back to maintain balance while keeping feet on the pedals." This is very surprising that this self-driven car would detect a person not even moving and still keep stopped, it will be interesting to see if and how they fix this problem.

Looks like Microsoft's Project Natal is more advanced than most of us thought. It effectively tracks bodily movements, even in low-light conditions.