🤔 Curious how Vision AI is shaping real-world industries? See how #VisionAI integrates with physical and agentic AI workflows across smart cities, railways, and enterprise automation at #GTCParis hosted by #VivaTech. Discover our curated sessions, interactive workshops, and real-world success stories using Vision AI ➡️ https://nvda.ws/3Fos9Pb | NVIDIA AI

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