Researchers have conducted the comprehensive review of recent advances in multimodal natural interaction techniques for ...
Build reliable multimodal AI apps with text, voice, and vision using shared context, smart orchestration, routing, and ...
Interdisciplinary multimodal pain treatment is associated with modest improvements in quality of life among adults with ...
Multimodal remote sensing data, acquired from diverse sensors, offer a comprehensive and integrated perspective of the Earth’s surface. Leveraging multimodal fusion techniques, semantic segmentation ...
Ai2 (The Allen Institute for AI) today announced Molmo 2, a state-of-the-art open multimodal model suite capable of precise spatial and temporal understanding of video, image, and multi-image sets.
New open models unlock deep video comprehension with novel features like video tracking and multi-image reasoning, accelerating the science of AI into a new generation of multimodal intelligence.
Abstract: Recent advances in Multimodal Entity Linking leverage multimodal information to link target mentions to corresponding entities. However, existing methods uniformly adopt a “one-size-fits-all ...
Multimodal perception is essential for enabling robots to understand and interact with complex environments and human users by integrating diverse sensory data, such as vision, language, and tactile ...
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