Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

We seem to collect information because we have the ability to do so, but we are so busy collecting it that we haven’t devised a means of using it. The true measure of any society is not what it knows ...

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is ...

It seems, it turns out, that those pep talks in the mirror and zoftig reminders under the discount sauce in the grocery store ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Scientists have discovered that forming a mental map of a new environment takes more than just recognizing individual ...

Using rare brain recordings from patients, scientists found that the thalamus helps trigger visual awareness. The study ...

While humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.

Classifying the sub-categories of an object from the same super-category (e.g., bird species and cars) in fine-grained visual classification (FGVC) highly relies on discriminative feature ...

The research found that the brains of people who used ChatGPT to help write essays were less engaged than others.

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

Neural Texture Compression (NTC) is a new technique that improves texture quality while reducing VRAM usage. It relies on a specialized neural network trained to compress ...