Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).

From large language models to whole brain emulation, two rival visions are shaping the next era of artificial intelligence.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

Can a machine truly outthink the volatile winds emitted by the Sun? NYU Abu Dhabi researchers have shown it can by achieving a 45% improvement in predictive accuracy over existing operational models ...

Despite impressive performance in various tasks, large language models (LLMs) are subject to the symbol grounding problem, so from the cognitive science perspective, one can argue that they are merely ...

Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...