A new study tested how humans and ChatGPT understand color metaphors, revealing key differences between lived experience and language-based AI.

Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance and motion. One drawback of typical PCA methods is that they are least squares estimation techniques ...

ChatGPT works by analyzing vast amounts of text, identifying patterns and synthesizing them to generate responses to users' ...

SceneScout, combines Apple Maps with a multimodal LLM to provide interactive, AI-generated descriptions of street view images ...

Emissions of particulate matter into the atmosphere are essential to characterize, in terms of properties such as particle size, morphology, and composition, to better understand impacts on public ...