Service robots are moving quickly into healthcare, security, and public environments. Yet their increasing reliance on visual and spatial perception technologies has introduced a major hurdle: ...

Molmo 2 is an 8B-parameter model that surpasses the 72B-parameter Molmo in accuracy, temporal understanding, and pixel-level ...

Realsee3D is a large-scale multi-view RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and scene understanding. Large Scale: 10,000 unique indoor scenes, comprising ...

Physical AI converts terrain, drainage, soil variability and sunlight into structured inputs that can be simulated, ...

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

AI is moving faster and becoming more diverse than ever. The next competitive advantage may come from a new architecture.

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

In the race to deliver faster, smarter, and more resilient networks, CSP and telco leaders are finding a powerful ally in ...

At the University of Arizona, a new lab is giving scientists the tools to predict the future of life on Earth. The Data ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive.