Our brains begin to create internal representations of the world around us from the first moment we open our eyes. We perceptually assemble components of scenes into recognizable objects thanks to ...

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 ...

A study examining the brain of a person with object agnosia, a defect in the inability to recognize objects, is providing a unique window into the sophisticated brain mechanisms critical for object ...

Fig. 1. Design and fabrication of a multiphoton neuron tactile skin. (a) The design concept and spatial reconstruction workflow of the multiphotonic neuron haptic skin for simulating the tactile ...

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 ...

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.

If we've learned anything from post-apocalyptic movies it's that computers eventually become self-aware and try to eliminate humans. One engineer isn't interested in that development, but he has ...

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 ...

Just took a picture of some coffee? Here’s an advert for more coffee! Just took a picture of some coffee? Here’s an advert for more coffee! is a senior reporter who has covered AI, robotics, and more ...