When a company, university group, or developer wants to test a facial recognition algorithm, it sends that software to NIST, which then uses the full set of photograph collections to determine how ...

As you can see, image recognition will soon have the ability to supercharge your social media ads. Instead of targeting ads towards general demographics such as age, gender, location and interests ...

Image recognition was already good—but it’s getting way, way better. A research collaboration between Google and Stanford University is producing software that increasingly describes the ...

By changing tiny details, researchers were able to completely fool image recognition software. By Avery Thompson Published: Nov 01, 2017 3:50 PM EDT Save Article ...

Last week, NBC News exposed that IBM, in its efforts to create a large, diverse set of images to train facial recognition, scraped millions of photos from the photo sharing website Flickr.

The LAPD has used facial recognition software nearly 30,000 times since 2009, with hundreds of officers running images of suspects against a massive database of criminal mugshots.

Last year, a system built by researchers at Google aced another, more complex, image recognition test, called ImageNet, scoring 93.4 percent accuracy (you can see how Google's software performed ...

The machine-learning software developed by Google used two neural networks - one which deals with image recognition, the other with natural language processing. Image source, Google Image caption, ...

But how does software analyze emotion? When we smile, frown or grimace, thousands of tiny facial muscles are at work. Emotion-recognition software, or ERS, creates a 3-D face map, pinpointing 12 ...