With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Neurodiverse students—those with ADHD, autism, dyslexia, and other cognitive variations—remain markedly underrepresented in engineering programs despite possessing traits highly valued in technical ...

The biggest innovation over the last year is that inference-time scaling techniques that have been pioneered in natural language models have now come to visual language models,” said Eric Heim, chief ...

Image captioning is a cross-modal task that combines computer vision and natural language processing to generate natural language descriptions of visual content. Recent advances have explored the ...

Language and thought are intricately intertwined, creating a complex tapestry that shapes our cognition. While it is evident that thought can exist independently of language, particularly in the ...

In so doing, they found a need to improve verbal reasoning skills to deal with the new social environment that developed as a result. In this new effort, the researchers tested the verbal reasoning ...

People are immersed in perceptual space. It is challenging to imagine any naturalistic perceptual act abstracted from a spatial location, form or configuration of some kind. Indeed, there is a long ...

Forbes contributors publish independent expert analyses and insights. I write about psychology and education research and policy. Joni Lakin: Sometimes it's okay to recognize talent based on intuition ...