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Natural language processing (NLP) is a subfield of AI that deals with the interaction between computers and human language. NLP enables machines to understand, interpret, and generate natural language. It encompasses tasks such as speech recognition, language translation, sentiment analysis, and text generation. NLP has paved the way for virtual assistants, chatbots, and voice-controlled systems that can understand and respond to human commands and queries. It has also contributed to advancements in machine translation, making it easier for people to communicate across language barriers. Computer vision is an AI field concerned with enabling machines to understand and interpret visual information. It involves tasks such as image recognition, object detection, image segmentation, and scene understanding. Computer vision algorithms can analyze and interpret images or videos, allowing machines to recognize objects, people, and scenes. This technology has found applications in various fields, including autonomous vehicles, surveillance systems, medical imaging, and augmented reality. For instance, computer vision algorithms are used in self-driving cars to detect and track objects, enabling the vehicle to navigate safely.

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