The brain does not need its sophisticated cortex to interpret the visual world. A new study published in PLOS Biology ...

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

For humans, identifying items in a scene — whether that’s an avocado or an Aventador, a pile of mashed potatoes or an alien mothership — is as simple as looking at them. But for artificial ...

AI vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...

Since the early years of artificial intelligence, scientists have dreamed of creating computers that can “see” the world. As vision plays a key role in many things we do every day, cracking the code ...

Researchers at the University of Cambridge and Meta Reality Labs have, for the first tim,e mapped the resolution limits of ...

Scientists have revived light-sensing neuron cells in organ donor eyes and restored communication between them as part of a series of discoveries that stand to transform brain and vision research.

Researchers observed slow spontaneous fluctuations in the brain's visual centers that preceded visual hallucinations in blind people. Some people have lost their eyesight, but they continue to "see." ...

The AI-driven paradigm shift is prompting manufacturers to extend real-time data optimization from management decisions to ...