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Natural language processing (NLP) is a field of AI that deals with the interaction between computers and human language. It enables machines to understand, interpret, and generate natural language. NLP encompasses tasks such as speech recognition, language translation, sentiment analysis, and text generation. NLP has revolutionized communication, enabling virtual assistants, chatbots, and voice-controlled systems to understand and respond to human commands. It has also played a crucial role in machine translation, making it easier for people to communicate across language barriers and fostering global collaboration. Computer vision is an AI field focused on 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 industries, including autonomous vehicles, surveillance systems, medical imaging, and augmented reality. For example, computer vision algorithms enable self-driving cars to detect and track objects, ensuring safe navigation on the roads.


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