Short Q/A Application of Computer Science - Students Free Notes

Is the use of Grammarly AI tool a perfect replacement for manual proofreading?

While Grammarly is an advanced AI tool that corrects grammar, spelling, and style, it is not a perfect replacement for manual proofreading. AI-driven tools can overlook contextual errors, cultural nuances, and stylistic choices that require human judgment. Grammarly focuses on structural correctness but may misinterpret complex sentences or fail to detect subtle tone variations. Human … Read more

What is a robot? Mention four areas where robots can replace humans that are not mentioned in this unit.

A robot is a machine programmed to perform tasks autonomously or semi-autonomously, often using AI and automation. Robots enhance efficiency and safety in various industries. Apart from common applications, robots can replace humans in hazardous environments such as deep-sea exploration, where they conduct underwater research. They can assist in mining operations, reducing human exposure to … Read more

Compare the use of Natural Language Processing (NLP) with computer languages for interaction with computers.

Natural Language Processing (NLP) enables computers to understand, interpret, and respond to human language, making interactions more natural. It powers virtual assistants, chatbots, and translation services. In contrast, computer languages like Python and Java require structured commands and syntax, designed for programming rather than direct human communication. NLP allows users to interact with AI through … Read more

Describe how computer vision applications help in the automation of tasks.

Computer vision automates various tasks by enabling machines to interpret and process visual data. In manufacturing, AI-powered vision systems detect product defects, ensuring quality control. Self-driving cars use computer vision for object detection, traffic sign recognition, and pedestrian safety. In healthcare, AI analyzes medical images for disease diagnosis, assisting doctors in early detection. Retail stores … Read more

Differentiate between supervised and unsupervised machine learning.

Supervised and unsupervised machine learning are two fundamental types of AI learning models. Supervised machine learning uses labeled data, where the algorithm learns from input-output pairs to make predictions. For example, spam email detection is a supervised learning application. In contrast, unsupervised machine learning works with unlabeled data, identifying patterns and relationships without predefined categories. … Read more

Briefly describe the positive impact of AI in our daily life.

Artificial Intelligence has significantly improved our daily lives by automating routine tasks, enhancing convenience, and increasing efficiency. Virtual assistants like Siri and Alexa help with scheduling, reminders, and information retrieval. AI-powered recommendation systems personalize content on streaming platforms and online shopping sites. In healthcare, AI aids in diagnosing diseases and suggesting treatments. AI-driven chatbots provide … Read more