Unit-5 Applications of Computer Science
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Unit-5 Applications of Computer Science
Answer: Siri is a virtual assistant that uses AI, including speech recognition and NLP, to answer questions and perform tasks.
Answer: Face recognition relies on computer vision and machine learning to identify a person from their facial features.
Answer: Spam filters use machine learning to identify and separate junk emails from important ones.
Answer: Online stores use machine learning algorithms to analyze your browsing and purchase history and suggest products.
Answer: Chatbots understand and respond to user messages using NLP so they can simulate human-like conversation.
Answer: Netflix uses AI and machine learning to recommend movies and shows based on your viewing history.
Answer: Speech recognition converts the user's spoken commands into text that the assistant can understand and act upon.
Answer: NLP, or Natural Language Processing, is the AI branch concerned with the interaction between computers and human language.
Answer: Speech recognition (ASR) systems transcribe spoken language into text, as used in voice-to-text typing.
Answer: Machine translation uses NLP and AI to convert text or speech from one language into another, as seen in Google Translate.
Answer: Google Translate is a machine translation service that uses AI to translate between many languages.
Answer: Intent recognition, part of Natural Language Understanding, identifies the user's purpose or goal from their message.
Answer: Translating between languages requires understanding meaning, which is a core NLP task.
Answer: ASR, or automatic speech recognition, is the process of converting spoken language into text.
Answer: NLU is the part of NLP that interprets the meaning and intent behind the words a user types or speaks.
Answer: The phone's speech recognition system listens to your voice and converts it into typed text.
Answer: Chatbots are AI programs that use NLP to understand user questions and generate relevant responses.
Answer: AI algorithms analyze huge volumes of telescope data to detect and classify objects in space.
Answer: Machine learning models scan telescope data to detect the subtle signals of planets orbiting distant stars.
Answer: AI classifiers identify and group galaxies, stars, and other celestial objects from telescope images.