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 ...

We take our understanding of where we are for granted, until we lose it. When we get lost in nature or a new city, our eyes and brains kick into gear, seeking familiar objects that tell us where we ...

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); ...

Do humans learn the same way as computers? Cognitive psychologists have debated this question for decades, but in the past few years the remarkable accomplishments of deep-learning computer systems ...

Neuroscientists at Johns Hopkins University (JHU) have discovered how we see objects in depth. Even if computers are better than humans in chess games, they can't beat us in the field of object ...

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 ...

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 ...