Multimodal sentiment analysis (MSA) is an emerging technology that seeks to digitally automate extraction and prediction of human sentiments from text, audio, and video. With advances in deep learning ...

Biologic agents themselves have also become more complex, going beyond simply producing naturally occurring macromolecules to altering or modifying them for increased efficiency or more specific ...

Heart failure is a leading cause of hospitalization and long-term disability, with many individuals progressing from subclinical disease to overt symptoms ...

In a systematic review and meta-analysis published in the journal Molecular Psychiatry, scientists have analyzed recent evidence on the usefulness of single and multimodal neuroimaging techniques in ...

Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...