Latest in Ai

Image credit:

BYU image algorithm can recognize objects without any human help

48 Shares
Share
Tweet
Share
Save

Sponsored Links

Even the smartest object recognition systems tend to require at least some human input to be effective, even if it's just to get the ball rolling. Not a new system from Brigham Young University, however. A team led by Dah-Jye Lee has built a genetic algorithm that decides which features are important all on its own. The code doesn't need to reset whenever it looks for a new object, and it's accurate to the point where it can reliably pick out subtle differences -- different varieties of fish, for instance. There's no word on just when we might see this algorithm reach the real world, but Lee believes that it could spot invasive species and manufacturing defects without requiring constant human oversight. Let's just hope it doesn't decide that we're the invasive species.

All products recommended by Engadget are selected by our editorial team, independent of our parent company. Some of our stories include affiliate links. If you buy something through one of these links, we may earn an affiliate commission.
Comment
Comments
Share
48 Shares
Share
Tweet
Share
Save

Popular on Engadget

Engadget's 2019 Back-to-School Guide

Engadget's 2019 Back-to-School Guide

View
Canon leaks its EOS 90D DSLR and mirrorless EOS M6 Mark II cameras

Canon leaks its EOS 90D DSLR and mirrorless EOS M6 Mark II cameras

View
Watch the Google Stadia event in 10 minutes

Watch the Google Stadia event in 10 minutes

View
HP's latest gaming headset delivers active cooling, noise cancellation

HP's latest gaming headset delivers active cooling, noise cancellation

View
Samsung's 32-inch Space Gaming Monitor makes room for your PC

Samsung's 32-inch Space Gaming Monitor makes room for your PC

View

From around the web

Page 1Page 1ear iconeye iconFill 23text filevr