The field of Intangible Cultural Heritage (ICH) preservation increasingly depends on multimodal data, ranging from motion ...
Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis ...
Imagine that you want to know the plot of a movie, but you only have access to either the visuals or the sound. With visuals alone, you'll miss all the dialog. With sound alone, you will miss the ...
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 ...
Artificial intelligence data annotation startup Encord, officially known as Cord Technologies Inc., wants to break down barriers to training multimodal AI models. To do that, it has just released what ...
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 ...
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 ...
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