(HealthDay News) — A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions, including death, dementia, and myocardial infarction (MI), according ...
Can robots grasp diverse objects adaptively like humans? Published in National Science Review, researchers from Tsinghua ...
Seattle, WA, Jan. 15, 2026 (GLOBE NEWSWIRE) -- ReelTime Media (OTCID:RLTR) today announced that its Reel Intelligence (“RI”) ...
Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.
LLaVA-OneVision-1.5-RL introduces a training recipe for multimodal reinforcement learning, building upon the foundation of LLaVA-OneVision-1.5. This framework is designed to democratize access 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 ...
Abstract: Utilizing deep learning to fuse multimodal data for millimeter-wave beam prediction can achieve significant performance improvement compared to the conventional unimodal approaches. However, ...
This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...
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