For decades, researchers have documented an achievement gap between children from higher- and lower-income families. On average, children with more resources perform better in school and on cognitive ...

Early adopters are using the model for diverse applications, such as auto-clipping highlights from live sports, which ...

Spatial computing in gaming has been bound to head-mounted devices for the past several years. While virtual reality (VR) headsets, augmented reality (AR) glasses, and mixed-reality wearables have ...

Spatial-biology tools are collecting more comprehensive data, and companies that want to model cells in silico are hoovering ...

Perceptron AI today announced the launch of its model purpose-built for video understanding and embodied reasoning. It delivers performance competitive with leading frontier models – including Google, ...

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 ...

When was the last time you paid attention to your commute? And I don't mean a couple of feet in front of you, at the car ...

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 ...

The rapid ascent of large language models (LLMs)—and their growing role in everyday life—masks a fundamental problem: ...

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 ...