For robots to operate reliably in the real world, they must train in environments that accurately represent it. This is the core challenge behind Real2Sim—and the focus of XGRIDS' presence at GTC 2026 ...
Spatial econometrics addresses the challenges posed by spatially correlated data, enabling researchers to understand and quantify how economic phenomena in one location can influence those in ...
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Vision-language models gain spatial reasoning skills through artificial worlds and 3D scene descriptions
Vision-language models (VLMs) are advanced computational techniques designed to process both images and written texts, making predictions accordingly. Among other things, these models could be used to ...
tagSpace enables brands and creators to take existing multimedia content; including video, images, and 3D assets, then deploy it as immersive spatial experiences across cities, venues, and events.
The multi-level testing framework is designed across spatial relations, spatial scenes, and prompt engineering strategies, with standardized scripts ensuring normalization. Recently, the Journal of ...
The rapid evolution of spatial computing necessitates asset-creation methods that transcend the constraints of manual modeling. Tripo AI has introduced an enterprise-focused framework designed to ...
IEEE Spatial Web chair George Percivall explains how the recently-approved IEEE P2874 Spatial Web Standard complements existing Web and digital twins’ standards to guide the development of ...
South Africa exhibits one of the highest levels of income inequality globally, reflecting persistent spatial exclusion. This ...
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