Build reliable multimodal AI apps with text, voice, and vision using shared context, smart orchestration, routing, and ...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

The text of the following statement was released by the Governments of the Republic of Armenia and the United States. Foreign ...

As large language models (LLMs) evolve into multimodal systems that can handle text, images, voice and code, they’re also becoming powerful orchestrators of external tools and connectors. With this ...

Abstract: Synthetic aperture radar (SAR) ship classification is crucial for maritime surveillance. Most existing methods primarily focus on visual or polarimetric features, often constrained by a ...

The batch command help text contains no examples showing how to use multimodal inputs. Users cannot discover batch multimodal capabilities from built-in help. The batch command builder includes ...

ABSTRACT: This study explores the use of multimodal advertising strategies in the beauty industry, focusing specifically on luxury cosmetic brands. Through a detailed analysis of both textual and ...