Multimodal large language models have revolutionized AI research and industry, paving the way toward the next milestone. However, their large sizes and high computational costs restrict deployment to ...

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 ...

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 ...

Early detection of cancer at stage I is critical for improving survival rates, yet existing diagnostic tools often face trade-offs between sensitivity, specificity, and clinical scalability. While ...

NICE, France — Both Parkinson's patients who have freezing of gait, known as "freezers," and those who do not, "non-freezers," benefit from multimodal balance training (MBT) with rhythmic cues, a new ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As enterprises around the world double down on their AI projects, the ...

In the early stages of AI adoption, enterprises primarily worked with narrow models trained on single data types—text, images or speech, but rarely all at once. That era is ending. Today’s leading AI ...

With the great success of large language models, self-supervised pre-training technologies have shown the great promise in the field of drug discovery. In particular, multimodal pre-training models ...

Community-dwelling adults aged 60 or more years who participated in an eight-week virtual reality–based multimodal training program showed selective improvements in cognitive processing speed and ...