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Computer vision is an AI field concerned with enabling machines to understand and interpret visual information. AI-powered computer vision systems can recognize and classify objects, people, and scenes in images or videos. They can also perform tasks like object detection, image segmentation, and image generation. Computer vision finds applications in various domains, including autonomous vehicles, surveillance systems, facial recognition, and medical imaging. For example, AI algorithms can analyze medical images to assist in disease diagnosis or monitor traffic cameras to improve safety and traffic management. Robotics is a field that combines AI with mechanical engineering, electronics, and control systems. AI-driven robots are capable of performing physical tasks in dynamic and unstructured environments. They can navigate autonomously, manipulate objects, and interact with humans. Robotics has revolutionized industries such as manufacturing, logistics, healthcare, and space exploration. Collaborative robots, or cobots, work alongside humans, enhancing productivity and safety. The advancement of AI in robotics has the potential to automate repetitive and dangerous tasks, freeing humans to focus on more complex and creative endeavors.

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