Nature

Mapping the knowledge domain of multimodal translation: a bibliometric analysis

To investigate the landscape of the studies on multimodal translation, 2573 papers extracted from the Web of Science (WoS) from 1990 to 2023 in related research were analyzed from the dimensions of ...
Phys.org

Multimodal method combines imaging and sequencing to study gene function in intact tissue

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 ...
Nature

Multimodal deep learning for cancer prognosis prediction with clinical information prompts integration

Survival prediction is crucial for guiding cancer treatment and evaluating therapeutic efficacy. However, tumor heterogeneity presents challenges of accurate prognosis. Multimodal learning, which ...
Frontiers

Generative AI and Multimodal Learning for Early Gastric Cancer Detection Using Small, Imbalanced, and Heterogeneous Clinical Data

Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis ...
EurekAlert!

Researchers create multimodal sentiment analysis method that improves detection of human emotions while reducing computational cost

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 ...
EurekAlert!

Multimodal fusion of brain imaging data: methods and applications

Neuroimaging provides a means for identifying and measuring the structure and function of the brain. Different non-invasive imaging measurements reveal different characteristics of the nervous system, ...
The Scientist

A Unifying Data Informatics Approach for Multimodal Research

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 ...
Frontiers

Multimodal World Models, Embodiment, and Cognitive Amplification

Multimodal models and world models are emerging as promising frameworks for extending language-based AI beyond text, towards ...
VentureBeat

New training method boosts AI multimodal reasoning with smaller, smarter datasets

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 ...
News Medical

Study examines unimodal vs multimodal neuroimaging methods for classifying psychosis

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 ...
SiliconANGLE

Encord creates a new method for training powerful multimodal AI models on a single GPU

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 ...