Artificial intelligence unit1
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The document is a syllabus for an Artificial Intelligence unit taught by Surbhi Saroha. The syllabus covers an introduction to AI, the foundations and history of AI, applications of AI, intelligent agents, the structure of intelligent agents, computer vision, and natural language processing. It provides an overview of key concepts that will be examined in each topic area.
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An agent that helps users complete tasks through natural language conversations. Examples include Siri, Alexa, Cortana.
Autonomous: An agent that acts independently in an environment to achieve goals. Self-driving cars are autonomous agents.
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This document provides an overview of Java unit 2, which covers exception handling, multithreaded programming, and inter-thread communication. It defines key concepts like exceptions, exception types, try/catch/throw/throws keywords, thread priorities, synchronization, and wait/notify methods. Example code is provided to demonstrate exception handling, thread creation and communication between threads using wait/notify.
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Artificial intelligence unit1
- 1. ARTIFICIAL INTELLIGENCE UNIT 1 BY:SURBHI SAROHA ASSISTANT PROFESSOR(CS) 1 Surbhi Saroha
- 2. SYLLABUS • Introduction to Artificial Intelligence • Foundations and History of Artificial intelligence • Applications of Artificial intelligence • Intelligent Agents • Structure of Intelligent Agents • Computer vision • Natural Language Possessing. 2 Surbhi Saroha
- 3. Artificial Intelligence • Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. • The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. 3 Surbhi Saroha
- 4. Foundations and History of Artificial intelligence • The concept of AI began around 1943 and became a field of study in 1956 at Dartmouth. • AI is not limited to the Computer Sciences disciplines, but can be seen in countless disciplines such as Mathematics, Philosophy, Economics, Neuroscience, psychology and various other areas. 4 Surbhi Saroha
- 5. Applications of Artificial intelligence • Ridesharing Apps Like Uber . • Commercial Flights Use an AI Autopilot. • Spam Filters. • Smart Email Categorization. • Plagiarism Checkers. • Mobile Check Deposits. 5 Surbhi Saroha
- 6. Intelligent Agents • An intelligent agent is a program that can make decisions or perform a service based on its environment, user input and experiences. • These programs can be used to autonomously gather information on a regular, programmed schedule or when prompted by the user in real time. 6 Surbhi Saroha
- 7. Structure of Intelligent Agents 7 Surbhi Saroha
- 8. Computer vision • Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. • Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see.” • Computer vision is an interdisciplinary scientific field that deals with how computers can gain high- level understanding from digital images or videos. 8 Surbhi Saroha
- 9. Natural Language Possessing • Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English. • Processing of Natural Language is required when you want an intelligent system like robot to perform as per your instructions, when you want to hear decision from a dialogue based clinical expert system, etc. • The field of NLP involves making computers to perform useful tasks with the natural languages humans use. The input and output of an NLP system can be − • Speech • Written Text 9 Surbhi Saroha
- 10. 10 Surbhi Saroha