The researchers on the project, Hany Farid and Eric Kee, designed their algorithm to be able to rank images from 1 through 5 in order to determine if it is slightly modified or highly edited.

Anyone who has ever worked with image files knows that, unlike the fictional world of shows like CSI, there’s no easy way to take a low-resolution image and magically transform it into a high ...

Or a really smart algorithm ... photos. If you fed the neural network your edited photos, it eventually could learn to reproduce your personal photographic style. That alone makes it pretty cool.

But for artificial intelligence and computer vision systems ... University and Microsoft have developed STEGO, an algorithm able to identify images down to the individual pixel.

Why not let an algorithm look at it! That’s the broad idea behind a recent project created by computer scientists ... Using a database of close to 130,000 images of skin diseases, the team ...

while the overall precision of the pattern recognition/sarcasm categorizing algorithm was accurate in 77 percent of instances. Not bad for a computer’s first shot at interpreting the human sense ...

The “middle-out” algorithm that has its roots in the ... but something like it can be found in Lepton, a cool new lossless image compressor created by Dropbox. Lepton reduces the file size ...