Image recognition is a long-standing challenge in science. But researchers have achieved a breakthrough by developing a powerful image-recognition application with mass-market appeal. There is a ...
Smithsonian Magazine on MSN
Computers Are Getting Much Better at Image Recognition
Anyone with a computer has been asked to “select every image containing a traffic light” or “type the letters shown below” to ...
At Facebook’s recent annual developer conference, Marc Zuckerberg outlined the social network’s artificial intelligence (AI) plans to “build systems that are better than people in perception.” He then ...
Advances in artificial intelligence mean applications increasingly can take on image recognition capabilities that allow them to identify objects, detect the age of human faces and screen out adult ...
Every day there's a fresh news story about "image recognition," aka "computer vision" — terms that have a faintly sci-fi feel to them. The technology can seem almost forbiddingly futuristic and ...
Adweek on MSN
The Era of Scannable Images Has Arrived
This post was created in partnership with IRCODE QR codes are so yesterday – enter the era of scannable images. During a ...
Forbes contributors publish independent expert analyses and insights. I write about how technology is changing the world of food. This article is more than 10 years old. While most would point to home ...
The face-recognition technology behind smartphones, self-driving cars and diagnostic imaging in healthcare has made massive strides of late. These examples all use solutions that make sense of objects ...
Today, more and more companies are realizing that capturing the attention of their audience on social media is the best way to promote their products, drive traffic to their websites and increase ...
Much of the excitement around image recognition technology and smartphones has focused on augmented reality. However, there is significant untapped potential in leveraging image recognition to add ...
Training deep learning models to recognize images, as well as objects within those images, takes quite a bit of effort. Often, each training image has to be labeled by humans and when you're using ...
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