Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of ...

"With the advent of large language models (LLMs), a key question arises: Can these models develop human-like object representations from linguistic and multimodal data?

Understanding how the human brain represents the information picked up by the senses is a longstanding objective of ...

Many models from Perceptual Categorization begin with simplified assumptions about object representations, most commonly assuming that objects are represented in a multidimensional psychological ...

The scientists performed multivariate analysis on a multivariate classification framework and compared infant and adult EEG quantitative data and deep learning models.

A new study questions the longstanding view that the visual system is divided into two pathways, one for object-recognition and the other for spatial tasks. Using computational vision models ...

The need to persist data created at runtime is as old as computing. And the need to store object-oriented data cropped up when object-oriented programming became pervasive. Currently, most modern ...

Data visualization is often described as part art and part science, and it's true: Visual design and information representation are separate yet highly interrelated concepts that, together, create ...

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...