JNTU B.Tech III AI APPLICATIONS Previous Question Paper (February - 2023 - R18)

Natural Language Processing (NLP) is widely applied in modern AI systems to bridge the gap between human communication and machine understanding. Key applications include:

• Machine Translation: Automatically converting text or speech from one language to another, such as Google Translate.
• Sentiment Analysis: Determining the emotional tone behind a body of text, commonly used in social media monitoring and customer feedback analysis.
• Chatbots and Virtual Assistants: Enabling natural language interaction in systems like Siri, Alexa, or customer support bots.
• Information Extraction and Summarization: Automatically identifying key entities from documents or condensing long texts into concise summaries.

Quantum computing is a multidisciplinary field that utilizes the principles of quantum mechanics to perform complex calculations far more efficiently than classical computers. Unlike classical bits that exist in a state of either 0 or 1, quantum computers use qubits, which can exist in a state of superposition, representing both 0 and 1 simultaneously.

Key principles include:

• Superposition: The ability of a qubit to represent multiple states at once, allowing for massive parallel processing.
• Entanglement: A quantum phenomenon where the states of two or more qubits become linked, such that the state of one qubit instantly influences the state of another, regardless of distance.
• Interference: The process of manipulating quantum states to amplify the probability of correct answers while canceling out incorrect ones.

These properties enable quantum computers to solve specific problems, such as integer factorization and molecular simulation, that are computationally intractable for classical systems.