Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface content.

Molmo 2 is an 8B-parameter model that surpasses the 72B-parameter Molmo in accuracy, temporal understanding, and pixel-level ...

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.

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 ...

Multi-modal infrastructure boosts economic growth, increases property values, and supports tourism while improving community mobility. Creative funding strategies like public-private partnerships, tax ...

Abstract: Multi-modal neuroimaging data, including magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography (PET), have greatly advanced the computer-aided diagnosis of ...

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 ...

In clinical practice, a variety of techniques are employed to generate diverse data types for each cancer patient. These data types, spanning clinical, genomics, imaging, and other modalities, exhibit ...