Artificial Intelligence AI

Slides:



Advertisements
Similar presentations
Artificial Intelligence
Advertisements

Presentation on Artificial Intelligence
Artificial Intelligence. Intelligent? What is intelligence? computational part of the ability to achieve goals in the world.
Tools: Computers and IT. VB, VBA, Excel, InterDev, Etc. Humans: Decision Making Process Algorithms: Math/Flow Chart stuff that helps the tools help the.
Artificial Intelligence
Introduction to AI Kaziwa H. Saleh. What is AI? John McCarthy defines AI as “the science and engineering to make intelligent machines”. AI is the study.
2 We need programming languages to communicate with a computer. The two broad classifications of programming languages are: Low-level and High- level.
A Brief History of Artificial Intelligence
C SC 421: Artificial Intelligence …or Computational Intelligence Alex Thomo
Artificial Intelligence Austin Luczak, Katie Regin, John Trawinski.
Artificial Intelligence
Artificial Intelligence Today Kevin Smith Kevin Smith Temple University CIS 55 Section 402.
Introduction to AI, H. Feili 1 Introduction to Artificial Intelligence LECTURE 1: Introduction What is AI? Foundations of AI The.
CPSC 171 Artificial Intelligence Read Chapter 14.
Artificial Intelligence Andrea Danyluk For FPS 2/2/04.
ARTIFICIAL INTELLIGENCE Introduction: Chapter 1. Outline Course overview What is AI? A brief history The state of the art.
Artificial Intelligence CIS 479/579 Bruce R. Maxim UM-Dearborn.
Introduction (Chapter 1) CPSC 386 Artificial Intelligence Ellen Walker Hiram College.
Introduction: Chapter 1
Artificial Intelligence
Knowledge representation
Introduction GAM 376 Robin Burke Winter Outline Introductions Syllabus.
11 C H A P T E R Artificial Intelligence and Expert Systems.
A RTIFICIAL I NTELLIGENCE Introduction 3 October
Artificial Intelligence
Artificial Intelligence CS 363 Kawther Abas Lecture 1 Introduction 5/4/1435.
1 Artificial Intelligence GholamReza GhassemSani Fall 1383.
How Solvable Is Intelligence? A brief introduction to AI Dr. Richard Fox Department of Computer Science Northern Kentucky University.
1 CS 2710, ISSP 2610 Foundations of Artificial Intelligence introduction.
Course Instructor: K ashif I hsan 1. Chapter # 1 Kashif Ihsan, Lecturer CS, MIHE2.
1 The main topics in AI Artificial intelligence can be considered under a number of headings: –Search (includes Game Playing). –Representing Knowledge.
AI: Can Machines Think? Juntae Kim Department of Computer Engineering Dongguk University.
Artificial intelligence
Artificial Intelligence, Expert Systems, and Neural Networks Group 10 Cameron Kinard Leaundre Zeno Heath Carley Megan Wiedmaier.
KNOWLEDGE BASED SYSTEMS
College of Computer Science, SCU Computer English Lecture 1 Computer Science Yang Ning 1/46.
Artificial Intelligence: Research and Collaborative Possibilities a presentation by: Dr. Ernest L. McDuffie, Assistant Professor Department of Computer.
Machines Who Think By: Pamela McCorduck Presentation By: Chantal Ivenso University of Cincinnati.
Princess Nora University Artificial Intelligence CS 461 Level 8 1.
Introduction to Machine Learning © Roni Rosenfeld,
A Brief History of AI Fall 2013 COMP3710 Artificial Intelligence Computing Science Thompson Rivers University.
ITEC 1010 Information and Organizations Chapter V Expert Systems.
Intelligent Control Methods Lecture 2: Artificial Intelligence Slovak University of Technology Faculty of Material Science and Technology in Trnava.
Artificial Intelligence
Overview of Artificial Intelligence (1) Artificial intelligence (AI) Computers with the ability to mimic or duplicate the functions of the human brain.
Sub-fields of computer science. Sub-fields of computer science.
Brief Intro to Machine Learning CS539
Introduction to Machine Learning
Artificial Intelligence
Fundamentals of Information Systems, Sixth Edition
Artificial intelligence (AI)
CHAPTER 1 Introduction BIC 3337 EXPERT SYSTEM.
Introduction Characteristics Advantages Limitations
Artificial Intelligence and Society
Lots of news about Artificial Intelligence in the press
ARTIFICIAL INTELLIGENCE.
Development Of Artificial Intelligence
Artificial Intelligence and Expert Systems
Introduction Artificial Intelligent.
Artificial Intelligence introduction(2)
KNOWLEDGE REPRESENTATION
TA : Mubarakah Otbi, Duaa al Ofi , Huda al Hakami
Future of Artificial Intelligence
COMP3710 Artificial Intelligence Thompson Rivers University
Artificial Intelligence
Introduction to Artificial Intelligence
What is Artificial Intelligence? (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include.
Artificial Intelligence Machine Learning
AI Application Session 12
Artificial Intelligence Andrea Danyluk For FPS 2/2/04.
Presentation transcript:

Artificial Intelligence AI By, Pawankumar C. Pathak

Introduction of Artificial Intelligence (AI) Outline: How is the Father of Artificial Intelligence? What is Artificial Intelligence? Goal of AI and Real Life examples of AI Benefits of AI in Future What is AI Technology? Advantage and Disadvantage of AI Artificial Intelligence(AI) vs. Machine Learning History of AI Courses of Artificial Intelligence(AI) in India Courses of Artificial Intelligence(AI) in Foreign

Father of Artificial Intelligence (AI) Who invented Artificial Intelligence? ---And the Answer is John McCarthy.

Father of Artificial Intelligence (AI) What John McCarthy said about Artificial Intelligence? “The science and engineering of making intelligent machines, especially intelligent computer programs”.

What is Artificial Intelligence(AI)? Artificial Intelligence is a way to make a computer, a computer-controlled robot, or a software wisely thinks, in the same way, that the intelligent man thinks.

Goal of AI To create an Expert system - The systems Goal of AI That display intelligent behavior, learn, exhibit, explain and advise your users. To implement human intelligence in machines - To create systems that think, understand, learn and behave like humans.

Real Life example of AI Self Driving Cars, Boston Dynamics, Navigation Systems, ASIMO, Human vs. Computer Games and more.

Benefits of Artificial Intelligence(AI) in Future? The most important purpose of AI is to reduce the number of human casualties. Wars Dangerous Workspaces Car Accidents Natural Disasters Or functions such as help to make everyday life easier: Cleaning Shopping Transportation

What is AI technology? In the real world, there are some unique qualities of knowledge - Its volume is enormous, which is unimaginable. It is not well-organized or systematic. It constantly changes. AI technology is a way to organize and use knowledge in this way efficiently - It should be considered by the people who provide it. To correct the errors, it should be easily modified. It should be useful in many situations, though it is incomplete or incorrect. AI technology increases the speed of execution of the complex program with which it is equipped.

Advantage and Disadvantage of AI Eradicate human error Improve efficiency Digital Assistants Open the door for Smart technology Disadvantage Job losses Robot owners Hackers can take advantage of AI's thirst for knowledge

Artificial Intelligence(AI) vs. Machine Learning Artificial Intelligence is a comprehensive concept of machines that is capable of doing tasks in such a way that we will consider "smart." Machine Learning Machine Learning is an application of AI around this idea, which we need to be able to provide access to data to machines and let them learn for themselves.

Artificial Intelligence(AI) vs. Machine Learning Whenever the machine meets the tasks on a set of defined rules, which solves the problem (algorithm), then such "intelligent" behavior is called artificial intelligence. For example, such machines can move objects and manipulate objects, identify whether someone has raised their hands or solved other problems. Machine Learning ML is a subset of artificial intelligence; In fact, this is a technique for realizing AI. This is a method of training algorithms that they can learn how to make a decision.

Artificial Intelligence(AI) vs. Machine Learning Generalized AI is less common because it is more difficult to build. Ideally, a generalized AI will be able to handle all kinds of different functions, such as humans. Although AI is not normal, many researchers are making progress in generalized AI areas. Machine Learning Big success was the invention of the internet. It created a huge potential for information storage which was never seen before. Machines can now see the amount of data that had never been reached due to storage limits. In fact, the amount of data being created to process humans is very high.

Machine Learning Vs. Artificial Intelligence Both AI and ML can have valuable business applications. Determine what is best for your company, it depends on what your needs are.

Machine Learning Vs. Artificial Intelligence There are many great applications in these systems, but ML has recently received a lot of publicity, so many companies have focused on the source of the solution. However, AI can also be useful for many simple applications that do not require ongoing learning.

Diagram of Machine Learning Vs. Artificial Intelligence:

Diagram of Machine Learning Vs. Artificial Intelligence: AI-The theory and development of computer systems which are capable of doing tasks that usually require human intelligence, such as visual perception, speech recognition, decision-making and translations with languages. Machine learning is a subset of artificial intelligence in the field of computer science, which often provides statistical techniques to give the ability to "learn" (i.e., improve performance on a particular task) with data, without having to explicitly program data uses. In 1959, Arthur Samuel did not make the phrase a long time, defining it, "ability to learn without programming explicitly."

Diagram of Machine Learning and Artificial Intelligence uses in years:

History of AI - The Birth of AI Birth of artificial intelligence 1951: AI programs were developed in Manchester: Draft-Playing Program by Christopher Strachey Chess Playing Program by Dietrich Prinz They moved to Ferranti Mark I in 1951.

History of AI - The Birth of AI 1955: Symbolic logic and logic theorist Allen Newell and (future Nobel Laureate) Herbert Simon created "Logic Theorist." Eventually, Russell and Whitehead will prove 38 out of the first 52 theorems in Principia Mathematica 1956: Dartmouth Conference - "Artificial Intelligence" adopted

History of AI - (1956-74) Research: Logic as a search: Naval and Simon developed a program called "Common Problems Solver". Natural Language Processing: Ross Quilon offered Cambridge Design Earth Network for Machine Translation to Semantic Network and Margaret Master man and Colleagues Lisp: John McCarthy (MIT) invented the Lisp language.

History of AI In 1987, the Lisp machine market was collapsing, because Apple and IBM's desktops computer were constantly receiving speed and power, and in 1987 they became more powerful than symbols and more expensive Lisp machines made by others .

History of AI In the 1990s, due to lack of funds, AI Research was another shock. 21st Century: In the 21st Century, the development of artificial intelligence was seen to increase to machine learning and big data analysis.

Courses of Artificial Intelligence(AI) in India Foundations of Artificial Intelligence and Machine Learning – IIIT Hyderabad Master of Technology in Artificial Intelligence – University of Hyderabad Quantum School of Technology - Dehradun Lovely Professional University, Connaught Place, Delhi SRM University, Sonepat Quantum School of Technology, Quantum University - Roorkee

Courses of Artificial Intelligence(AI) in Foreign Carnegie Mellon University (Pittsburgh, PA) Massachusetts Institute of Technology “MIT” (Cambridge, MA) University of California, Berkeley (Berkeley, CA) Yale University (New Haven, CT) Cornell University (Ithaca, NY) Columbia University (New York City, NY) University of Illinois (Urbana/Champaign, IL) University of Wisconsin (Madison, WI)

Thanks…!