The landscape for video training data and multimodal foundation models in 2026 is defined by a shift from quantity to highly ...
Apple's interest in AI models and their applications in spatial computing shows no signs of slowing down, even as some claim ...
Aquila improves remote sensing image comprehension through two linked innovations. First, it accepts image inputs up to 1,024 × 1,024 pixels, far higher than the 448 × 448 scale supported by many ...
Spatial-biology tools are collecting more comprehensive data, and companies that want to model cells in silico are hoovering ...
The study of spatial language has long relied on classic frameworks distinguishing between egocentric (self-centered) and allocentric (world-centered) reference frames. However, recent breakthroughs ...
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