People are increasingly turning to software to design complex material structures like airplane wings and medical implants. But as design models become more capable, our fabrication techniques haven't ...

A research team has developed a novel artificial intelligence (AI) system that enables low-cost agricultural robots to “see” ...

Organizations such as the PGA TOUR and Alaska Airlines prefer the hyperscalers to owned data centers for their ambitious ...

MAE, a self-supervised learning framework designed to automate 3D segmentation of plant organs from point cloud data.

Scientists created the most accurate three-dimensional map of star-formation regions in our Milky Way galaxy, based on data ...

The results aren't true 3D models, but they achieve a similar effect: The AI tool generates 2D video frames that maintain ...

Official implementation of 'GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model'. The paper has been accepted by ICML 2025. Pre-trained 3D vision models have gained significant attention ...

UniPre3D is the first unified pre-training method for 3D point clouds that effectively handles both object- and scene-level data through cross-modal Gaussian splatting. Our proposed pre-training task ...

Google’s Gemini model landing on Oracle Cloud marks a shift for enterprise AI adoption, bringing high-profile artificial intelligence out of Google’s exclusive orbit and into broader business ...

Introduction: The development of automated high-throughput plant phenotyping systems with non-destructive characteristics fundamentally relies on achieving accurate segmentation of botanical ...