In the blink of an eye, the human visual system can process an object, determining whether it's a cup or a sock within milliseconds, and with seemingly little effort. It's well-established that an ...

Imagine waiting for incoming passengers at the arrival gate at the airport. Your visual system can easily find faces and identify whether one of them is your friend's. As with other tasks that our ...

Scientists at Brigham Young University (BYU) have developed an algorithm that can accurately identify objects in images or videos and can learn to recognize new objects on its own. Although other ...

PatentlyApple point us to a few recently obtained Apple patents published by the US Patent and Trademark Office. Perhaps the most interesting of all is a patent covering 3D object recognition ...

The research team led by Masakazu Ohara, graduate student of the Department of Computer Science and Engineering at Toyohashi University of Technology (student in the Leading Program doctoral program); ...

Scarcely a day goes by without another headline about neural networks: some new task that deep learning algorithms can excel at, approaching or even surpassing human competence. As the application of ...

To researchers’ surprise, deep learning vision algorithms often fail at classifying images because they mostly take cues from textures, not shapes. When you look at a photograph of a cat, chances are ...

Josh Lowensohn joined CNET in 2006 and now covers Apple. Before that, Josh wrote about everything from new Web start-ups, to remote-controlled robots that watch your house. Prior to joining CNET, Josh ...

Computers aren't best suited to visual object recognition. Our brains are hardwired to quickly see and match patterns in everything, with great leaps of intuition, while the processing center of a ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

Most people’s drawing skills peaked in first grade. Which means the diagrams we include in handwritten notes often look like they were drawn by a moderately skilled raccoon. Fortunately, iPadOS 14 ...