Unlocking the Power of Spatial Intelligence in Artificial Intelligence Artificial Intelligence (AI) has transformed countless industries, from healthcare diagnostics to ...

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 ...

Hitem3D 2.0 highlights the broader shift of AI 3D foundation models from experimental systems toward production-oriented ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

Tripo AI raises $50M and launches new 3D generation models for design, XR, simulation, and production workflows | XR News from Auganix.org ...

New research behind the Tripo P series redefines AI 3D generation by modeling geometry natively in spatial space rather than ...

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 ...

For several years, the space-based geospatial intelligence industry has been chasing a logical vision for AI: use it to make our existing systems faster and smarter. Train models to detect objects.

The Stanford researcher’s startup aims to build A.I. systems fluent in the physical world. Photo by Yui Mok - Pool/Getty Images So-called world models like Marble are central to Li’s vision of the ...

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first large-scale foundation model that integrates single-cell analysis with spatial ...