RynnVLA-002 is an autoregressive action world model that unifies action and image understanding and generation. RynnVLA-002 intergrates Vision-Language-Action (VLA) model (action model) and world ...

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 ...

New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics for superior clarity and precision.

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer chips and advanced battery materials, without performing anything invasive ...

Abstract: A growing number of scientific publications are available today. As this data grows, it becomes increasingly important to use semantic density to convey the most essential information as ...

Abstract: Accurate real-time temperature estimation in permanent magnet synchronous motors is critical for safe and efficient operation. This article presents an attention-based deep learning ...

A generalized architectural blueprint for building efficient MLLMs. This template achieves efficiency through a combination of component choices and data flow optimization. Key strategies include: (1) ...