The ability to learn socially from one another is a defining feature of the human species. Social learning enables humans to ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Infants as young as 15 months can use language context to infer the meaning of words referring to objects they’ve never seen.

Doctors say that human language allows people to learn new words for things we’ve never witnessed directly. The post Study ...

A GMAT expert explains why visual learning is the ultimate study hack—and how a new OnDemand course helps high achievers ...

When visual information enters the brain ... "More non-target variability actually helps the model learn a better ...

Contrastive learning has found many applications in MVC due to its successful performance in unsupervised visual representation learning. However, existing MVC methods based on contrastive learning ...

Abstract: Self-supervised contrastive learning methods offer a promising approach to the small-sample synthetic aperture radar (SAR) automatic target recognition (ATR) problem by autonomously ...

with shorter learning curves and better knowledge application. The dual coding theory, which proposes that the brain creates separate but interconnected representations for verbal and visual ...

"The paper offers a new perspective on understanding the formation of representations in neural networks through the CRH and PAH," says Poggio. "This provides a framework for unifying existing ...