SlideShare una empresa de Scribd logo
1 de 14
Descargar para leer sin conexión
Presented By
MR. SURAJ KUMAR
Master of Computer Application (MCA)
Mob- 7677308200
Email- suraj0616@gmail.com
LECTURE-2
Father of A.I. is John McCarthy
John McCarthy, an American computer scientist
pioneer and inventor, was known as the father of
Artificial Intelligence (AI) after playing a seminal role
in defining the field devoted to the development of
intelligent machines
According to the father of Artificial Intelligence, John
McCarthy, it is “The science and engineering of
making intelligent machines, especially intelligent
computer programs”.
Artificial Intelligence is a way of making a
computer, a computer-controlled robot, or a
software think intelligently, in the similar manner
the intelligent humans think.
AI is accomplished by studying how human brain
thinks, and how humans learn, decide, and work while
trying to solve a problem, and then using the outcomes
of this study as a basis of developing intelligent
software and systems.
Goals of Artificial Intelligence-
To Create Expert Systems −
The systems which exhibit intelligent behavior, learn,
demonstrate, explain, and advice its users.
To Implement Human Intelligence in Machines −
Creating systems that understand, think, learn, and
behave like humans.
What Contributes to AI?
Artificial intelligence is a science and technology based
on disciplines such as Computer Science, Biology,
Psychology, Linguistics, Mathematics, and Engineering. A
major thrust of Artificial intelligence is in the
development of computer functions associated with
human intelligence, such as reasoning, learning, and
problem solving.
Programming Without and With Artificial Intelligence
Programming Without AI Programming With AI
A computer program without AI can
answer the specific questions it is
meant to solve.
A computer program with AI can
answer the generic questions it is
meant to solve.
Modification in the program leads to
change in its structure.
AI programs can absorb new
modifications by putting highly
independent pieces of information
together. Hence you can modify even
a minute piece of information of
program without affecting its
structure.
Modification is not quick and easy. It
may lead to affecting the program
adversely.
Quick and Easy program
modification.
What is AI Technique?
In the real world, the knowledge has some unwelcomed
properties −
Its volume is huge, next to unimaginable.
It is not well-organized or well-formatted.
It keeps changing constantly.
AI Technique is a manner to organize and use the
knowledge efficiently in such a way that −
It should be perceivable by the people who provide it.
It should be easily modifiable to correct errors.
It should be useful in many situations though it is
incomplete or inaccurate.
AI techniques elevate the speed of execution of the
complex program it is equipped with.
Applications of Artificial Intelligence
Gaming
Natural Language Programming
Expert System
Vision System
Speech Recognition
Writing Recognition
Intelligent Robots
Applications of Artificial Intelligence
Gaming-
AI plays crucial role in strategic games such as chess,
poker, tic-tac-toe, etc., where machine can think of large
number of possible positions based on heuristic
knowledge.
Natural Language Processing −
It is possible to interact with the computer that
understands natural language spoken by humans.
Applications of Artificial Intelligence
Expert Systems − There are some applications which
integrate machine, software, and special information to
impart reasoning and advising. They provide explanation
and advice to the users.
Vision Systems − These systems understand, interpret,
and comprehend visual input on the computer. For example,
A spying aeroplane takes photographs, which are used
to figure out spatial information or map of the areas.
Doctors use clinical expert system to diagnose the
patient.
Police use computer software that can recognize the
face of criminal with the stored portrait made by forensic
artist.
Applications of Artificial Intelligence
Speech Recognition
Some intelligent systems are capable of hearing and
comprehending the language in terms of sentences and
their meanings while a human talks to it. It can handle
different accents, slang words, noise in the background,
change in human’s noise due to cold, etc.
Handwriting Recognition
The handwriting recognition software reads the text
written on paper by a pen or on screen by a stylus. It
can recognize the shapes of the letters and convert it
into editable text.
Applications of Artificial Intelligence
Intelligent Robots
Robots are able to perform the tasks given by a human.
They have sensors to detect physical data from the real
world such as light, heat, temperature, movement,
sound, bump, and pressure. They have efficient
processors, multiple sensors and huge memory, to
exhibit intelligence. In addition, they are capable of
learning from their mistakes and they can adapt to the
new environment.
Artificial Intelligence Lecture 2

Más contenido relacionado

La actualidad más candente

Student information chatbot final report
Student information chatbot  final report Student information chatbot  final report
Student information chatbot final report jaysavani5
 
Explicable Artifical Intelligence for Education (XAIED)
Explicable Artifical Intelligence for Education (XAIED)Explicable Artifical Intelligence for Education (XAIED)
Explicable Artifical Intelligence for Education (XAIED)Robert Farrow
 
farming assistant web service
farming assistant web servicefarming assistant web service
farming assistant web serviceSurbhi Sharma
 
Rules in Artificial Intelligence
Rules in Artificial IntelligenceRules in Artificial Intelligence
Rules in Artificial IntelligencePierre Feillet
 
ATM System Description and functional and non- functional Requirements
ATM System Description and functional and non- functional RequirementsATM System Description and functional and non- functional Requirements
ATM System Description and functional and non- functional Requirementswajahat Gul
 
Introduction to ai (artificial intelligence)
Introduction to ai (artificial intelligence)Introduction to ai (artificial intelligence)
Introduction to ai (artificial intelligence)gomzigautham
 
Travel and Tourism Management System MCA, BCA, B.Tech, B.Sc, M.Sc
Travel and Tourism Management System MCA, BCA, B.Tech, B.Sc, M.ScTravel and Tourism Management System MCA, BCA, B.Tech, B.Sc, M.Sc
Travel and Tourism Management System MCA, BCA, B.Tech, B.Sc, M.ScDevendra Bhatt
 
I. AO* SEARCH ALGORITHM
I. AO* SEARCH ALGORITHMI. AO* SEARCH ALGORITHM
I. AO* SEARCH ALGORITHMvikas dhakane
 
Artificial Intelligence | Introduction to AI | What is ai?
Artificial Intelligence | Introduction to AI |  What is ai?Artificial Intelligence | Introduction to AI |  What is ai?
Artificial Intelligence | Introduction to AI | What is ai?SumitKumarShukla2
 
AI - Opportunities and Challenges
AI - Opportunities and ChallengesAI - Opportunities and Challenges
AI - Opportunities and ChallengesBert Jan Schrijver
 
Introduction to Artificial Intelligence and Machine Learning
Introduction to Artificial Intelligence and Machine Learning Introduction to Artificial Intelligence and Machine Learning
Introduction to Artificial Intelligence and Machine Learning Emad Nabil
 

La actualidad más candente (20)

Machine learning
Machine learning Machine learning
Machine learning
 
Chomsky Normal Form
Chomsky Normal FormChomsky Normal Form
Chomsky Normal Form
 
Student information chatbot final report
Student information chatbot  final report Student information chatbot  final report
Student information chatbot final report
 
Explicable Artifical Intelligence for Education (XAIED)
Explicable Artifical Intelligence for Education (XAIED)Explicable Artifical Intelligence for Education (XAIED)
Explicable Artifical Intelligence for Education (XAIED)
 
Rule based system
Rule based systemRule based system
Rule based system
 
farming assistant web service
farming assistant web servicefarming assistant web service
farming assistant web service
 
Machine learning
Machine learningMachine learning
Machine learning
 
Rules in Artificial Intelligence
Rules in Artificial IntelligenceRules in Artificial Intelligence
Rules in Artificial Intelligence
 
ATM System Description and functional and non- functional Requirements
ATM System Description and functional and non- functional RequirementsATM System Description and functional and non- functional Requirements
ATM System Description and functional and non- functional Requirements
 
Introduction to ai (artificial intelligence)
Introduction to ai (artificial intelligence)Introduction to ai (artificial intelligence)
Introduction to ai (artificial intelligence)
 
Typing speed test
Typing speed testTyping speed test
Typing speed test
 
A* Algorithm
A* AlgorithmA* Algorithm
A* Algorithm
 
Machine Learning and Artificial Intelligence
Machine Learning and Artificial IntelligenceMachine Learning and Artificial Intelligence
Machine Learning and Artificial Intelligence
 
Travel and Tourism Management System MCA, BCA, B.Tech, B.Sc, M.Sc
Travel and Tourism Management System MCA, BCA, B.Tech, B.Sc, M.ScTravel and Tourism Management System MCA, BCA, B.Tech, B.Sc, M.Sc
Travel and Tourism Management System MCA, BCA, B.Tech, B.Sc, M.Sc
 
I. AO* SEARCH ALGORITHM
I. AO* SEARCH ALGORITHMI. AO* SEARCH ALGORITHM
I. AO* SEARCH ALGORITHM
 
Artificial Intelligence | Introduction to AI | What is ai?
Artificial Intelligence | Introduction to AI |  What is ai?Artificial Intelligence | Introduction to AI |  What is ai?
Artificial Intelligence | Introduction to AI | What is ai?
 
Regular Grammar
Regular GrammarRegular Grammar
Regular Grammar
 
AI - Opportunities and Challenges
AI - Opportunities and ChallengesAI - Opportunities and Challenges
AI - Opportunities and Challenges
 
Graph coloring using backtracking
Graph coloring using backtrackingGraph coloring using backtracking
Graph coloring using backtracking
 
Introduction to Artificial Intelligence and Machine Learning
Introduction to Artificial Intelligence and Machine Learning Introduction to Artificial Intelligence and Machine Learning
Introduction to Artificial Intelligence and Machine Learning
 

Similar a Artificial Intelligence Lecture 2

Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial IntelligenceRoy MJ
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligencePrasathP13
 
Artificial intelligence LAB 1 overview & intelligent systems
Artificial intelligence LAB 1   overview & intelligent systemsArtificial intelligence LAB 1   overview & intelligent systems
Artificial intelligence LAB 1 overview & intelligent systemsTajim Md. Niamat Ullah Akhund
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligenceLOHITH M S
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligenceDanish Javed
 
Artificial intelligence_ class 12 KATHIR.pptx
Artificial intelligence_ class 12  KATHIR.pptxArtificial intelligence_ class 12  KATHIR.pptx
Artificial intelligence_ class 12 KATHIR.pptxvaradharajjayakumarv
 
Top 7 Pros and Cons of Artificial Intelligence.pdf
Top 7 Pros and Cons of Artificial Intelligence.pdfTop 7 Pros and Cons of Artificial Intelligence.pdf
Top 7 Pros and Cons of Artificial Intelligence.pdfDailyTechnoReview
 
Artifitial intelligence (ai) all in one
Artifitial intelligence (ai) all in oneArtifitial intelligence (ai) all in one
Artifitial intelligence (ai) all in onejehan1987
 
Artificial intelligence (ai)
Artificial intelligence (ai)Artificial intelligence (ai)
Artificial intelligence (ai)bijaya kc
 
Comparison Between Artificial Intelligence, Machine Learning, and Deep Learning
Comparison Between Artificial Intelligence, Machine Learning, and Deep LearningComparison Between Artificial Intelligence, Machine Learning, and Deep Learning
Comparison Between Artificial Intelligence, Machine Learning, and Deep LearningZaranTech LLC
 
Artificial Intelligence
Artificial Intelligence Artificial Intelligence
Artificial Intelligence Pardeep Vats
 
aman presentation 2.pptx
aman presentation 2.pptxaman presentation 2.pptx
aman presentation 2.pptxSanuBose
 
Unit 1 introduction
Unit 1 introductionUnit 1 introduction
Unit 1 introductionDhana malar
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligenceguest45deb89
 
Verisavo- Introduction to Artificial Intelligence and Machine Learning
Verisavo- Introduction to Artificial Intelligence and Machine LearningVerisavo- Introduction to Artificial Intelligence and Machine Learning
Verisavo- Introduction to Artificial Intelligence and Machine LearningVerisavo
 
ARTIFICIAL INTELLLLIGENCEE modul11_AI.pptx
ARTIFICIAL INTELLLLIGENCEE modul11_AI.pptxARTIFICIAL INTELLLLIGENCEE modul11_AI.pptx
ARTIFICIAL INTELLLLIGENCEE modul11_AI.pptxAnkitaVerma776806
 
An Overview of Artificial intelligence (Part 1)
An Overview of Artificial intelligence (Part 1)An Overview of Artificial intelligence (Part 1)
An Overview of Artificial intelligence (Part 1)Vijay R. Joshi
 
Area's of Artificial Inteligence .pptx
Area's of Artificial Inteligence .pptxArea's of Artificial Inteligence .pptx
Area's of Artificial Inteligence .pptxJIMSVKII
 

Similar a Artificial Intelligence Lecture 2 (20)

Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Artificial intelligence LAB 1 overview & intelligent systems
Artificial intelligence LAB 1   overview & intelligent systemsArtificial intelligence LAB 1   overview & intelligent systems
Artificial intelligence LAB 1 overview & intelligent systems
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Artificial intelligence_ class 12 KATHIR.pptx
Artificial intelligence_ class 12  KATHIR.pptxArtificial intelligence_ class 12  KATHIR.pptx
Artificial intelligence_ class 12 KATHIR.pptx
 
Top 7 Pros and Cons of Artificial Intelligence.pdf
Top 7 Pros and Cons of Artificial Intelligence.pdfTop 7 Pros and Cons of Artificial Intelligence.pdf
Top 7 Pros and Cons of Artificial Intelligence.pdf
 
Artifitial intelligence (ai) all in one
Artifitial intelligence (ai) all in oneArtifitial intelligence (ai) all in one
Artifitial intelligence (ai) all in one
 
Artificial intelligence (ai)
Artificial intelligence (ai)Artificial intelligence (ai)
Artificial intelligence (ai)
 
Comparison Between Artificial Intelligence, Machine Learning, and Deep Learning
Comparison Between Artificial Intelligence, Machine Learning, and Deep LearningComparison Between Artificial Intelligence, Machine Learning, and Deep Learning
Comparison Between Artificial Intelligence, Machine Learning, and Deep Learning
 
Artificial Intelligence
Artificial Intelligence Artificial Intelligence
Artificial Intelligence
 
aman presentation 2.pptx
aman presentation 2.pptxaman presentation 2.pptx
aman presentation 2.pptx
 
Unit 1 introduction
Unit 1 introductionUnit 1 introduction
Unit 1 introduction
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
Verisavo- Introduction to Artificial Intelligence and Machine Learning
Verisavo- Introduction to Artificial Intelligence and Machine LearningVerisavo- Introduction to Artificial Intelligence and Machine Learning
Verisavo- Introduction to Artificial Intelligence and Machine Learning
 
ARTIFICIAL INTELLLLIGENCEE modul11_AI.pptx
ARTIFICIAL INTELLLLIGENCEE modul11_AI.pptxARTIFICIAL INTELLLLIGENCEE modul11_AI.pptx
ARTIFICIAL INTELLLLIGENCEE modul11_AI.pptx
 
AI-PPt.pptx
AI-PPt.pptxAI-PPt.pptx
AI-PPt.pptx
 
An Overview of Artificial intelligence (Part 1)
An Overview of Artificial intelligence (Part 1)An Overview of Artificial intelligence (Part 1)
An Overview of Artificial intelligence (Part 1)
 
Aritificial intelligence
Aritificial intelligenceAritificial intelligence
Aritificial intelligence
 
Area's of Artificial Inteligence .pptx
Area's of Artificial Inteligence .pptxArea's of Artificial Inteligence .pptx
Area's of Artificial Inteligence .pptx
 

Último

What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Farhan Tariq
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Strongerpanagenda
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 

Último (20)

What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 

Artificial Intelligence Lecture 2

  • 1. Presented By MR. SURAJ KUMAR Master of Computer Application (MCA) Mob- 7677308200 Email- suraj0616@gmail.com LECTURE-2
  • 2. Father of A.I. is John McCarthy John McCarthy, an American computer scientist pioneer and inventor, was known as the father of Artificial Intelligence (AI) after playing a seminal role in defining the field devoted to the development of intelligent machines
  • 3. According to the father of Artificial Intelligence, John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs”. Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. AI is accomplished by studying how human brain thinks, and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems.
  • 4. Goals of Artificial Intelligence- To Create Expert Systems − The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advice its users. To Implement Human Intelligence in Machines − Creating systems that understand, think, learn, and behave like humans.
  • 5. What Contributes to AI? Artificial intelligence is a science and technology based on disciplines such as Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. A major thrust of Artificial intelligence is in the development of computer functions associated with human intelligence, such as reasoning, learning, and problem solving.
  • 6.
  • 7. Programming Without and With Artificial Intelligence Programming Without AI Programming With AI A computer program without AI can answer the specific questions it is meant to solve. A computer program with AI can answer the generic questions it is meant to solve. Modification in the program leads to change in its structure. AI programs can absorb new modifications by putting highly independent pieces of information together. Hence you can modify even a minute piece of information of program without affecting its structure. Modification is not quick and easy. It may lead to affecting the program adversely. Quick and Easy program modification.
  • 8. What is AI Technique? In the real world, the knowledge has some unwelcomed properties − Its volume is huge, next to unimaginable. It is not well-organized or well-formatted. It keeps changing constantly. AI Technique is a manner to organize and use the knowledge efficiently in such a way that − It should be perceivable by the people who provide it. It should be easily modifiable to correct errors. It should be useful in many situations though it is incomplete or inaccurate. AI techniques elevate the speed of execution of the complex program it is equipped with.
  • 9. Applications of Artificial Intelligence Gaming Natural Language Programming Expert System Vision System Speech Recognition Writing Recognition Intelligent Robots
  • 10. Applications of Artificial Intelligence Gaming- AI plays crucial role in strategic games such as chess, poker, tic-tac-toe, etc., where machine can think of large number of possible positions based on heuristic knowledge. Natural Language Processing − It is possible to interact with the computer that understands natural language spoken by humans.
  • 11. Applications of Artificial Intelligence Expert Systems − There are some applications which integrate machine, software, and special information to impart reasoning and advising. They provide explanation and advice to the users. Vision Systems − These systems understand, interpret, and comprehend visual input on the computer. For example, A spying aeroplane takes photographs, which are used to figure out spatial information or map of the areas. Doctors use clinical expert system to diagnose the patient. Police use computer software that can recognize the face of criminal with the stored portrait made by forensic artist.
  • 12. Applications of Artificial Intelligence Speech Recognition Some intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings while a human talks to it. It can handle different accents, slang words, noise in the background, change in human’s noise due to cold, etc. Handwriting Recognition The handwriting recognition software reads the text written on paper by a pen or on screen by a stylus. It can recognize the shapes of the letters and convert it into editable text.
  • 13. Applications of Artificial Intelligence Intelligent Robots Robots are able to perform the tasks given by a human. They have sensors to detect physical data from the real world such as light, heat, temperature, movement, sound, bump, and pressure. They have efficient processors, multiple sensors and huge memory, to exhibit intelligence. In addition, they are capable of learning from their mistakes and they can adapt to the new environment.