Learn how to scale #visionAI apps for complex physical environments. See real-world examples from MetAI 宇見智能 at #GTC25 and discover how #digitaltwins and #AIagents streamline app deployment from simulation, training to runtime. 🔗 https://nvda.ws/4iggEXW | NVIDIA Robotics

2.3K views · 61 reactions | Vision Language Models (VLMs) understand natural language prompts and perform visual question answering. ➡️ https://nvda.ws/4cTW5Ox Learn how you can build VLM-powered visual AI agents for a wide range of apps. #SIGGRAPH2024 | NVIDIA AI | Facebook

High-capacity vision-language models (VLMs) are trained on large web datasets, enabling them to effectively recognize visual and language patterns and function across multiple languages. However, for robots to reach a similar level of proficiency, they would need to gather firsthand data across various objects, environments, tasks, and situations. In this context, researchers have introduced Robotic Transformer 2 (RT-2), a vision-language-action (VLA) model that learns from both web and robotics

Building eye focusing and visual tracking is seen in this vision therapy activity. Our patient is gaining strength and flexibility of focusing his eyes through lenses that challenge him to relax and exert focus while he must visually track a moving object and balance at the same time. As a result our patient's reading is getting faster and easier and his tennis game is getting better too! | Wow Vision Therapy

How To Improve Your Vision Exercises! 👀 | Physical Therapy Session