Tripo AI today announced $50 million in new funding alongside a new generation of 3D model architectures designed to generate production-ready assets directly within native three-dimensional space.

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the growing effects of global warming, these disaster risks are heightened with ...

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

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

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 ...

VergeSense, the leader in occupancy intelligence, today announced the release of its Large Spatial Model (LSM), a new AI foundational model built to predict workplace utilization and demand. Trained ...

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 ...