SlideShare a Scribd company logo
ARTIFICIALARTIFICIAL
INTELLIGENCEINTELLIGENCE
“AI is the study of techniques for
solving exponentially hard
problems in polynomial time by
exploiting knowledge about the
problem domain.“ - Elaine Rich
Although artificial intelligence as an independent field of study
is relatively new, it has some roots in the past. We can say that
it started 2,400 years ago when the Greek philosopher Aristotle
invented the concept of logical reasoning. The effort to finalize
the language of logic continued with Leibniz and Newton.
George Boole developed Boolean algebra in the nineteenth
century (Appendix E) that laid the foundation of computer
circuits. However, the main idea of a thinking machine came
from Alan Turing, who proposed the Turing test. The term
“artificial intelligence” was first coined by John McCarthy in
1956.
Hi st ory of art i f i ci al i nt el l i gence
ApplicatioApplicatio
ns of AI :ns of AI :
•Game playing
•Automated
Reasoning &
Theorem Proving
•Expert Systems
•Natural
Language
Understanding &
Semantic
Modeling
•Planning &
Robotics
ARTIFICIALARTIFICIAL
INTELLIGENCEINTELLIGENCE
advantagesadvantages
andand
disadvantagesdisadvantages
ADVANTAGES OF ARTIFICIAL INTELLIGENCEADVANTAGES OF ARTIFICIAL INTELLIGENCE
 Can take on stressful and complex work that humans may
struggle/can not do.
 Can complete task faster than a human can most likely
 To discover unexplored things. i.e. outer space
 Less errors and defects
 Function is infinite
DISADVANTAGES OF ARTIFICIAL INTELLIGENCEDISADVANTAGES OF ARTIFICIAL INTELLIGENCE
 Lacks the "human touch"
 Has the ability to replace human jobs
 Can malfunction and do the opposite of
what they are programmed to do
 Can be misused leading to mass scale
destruction
 May corrupt younger generation
We end up with four possible goals:
Systems that think like humans (focus on reasoning and human framework)
Systems that think rationally (focus on reasoning and a general concept of intelligence)
Systems that act like humans (focus on behavior and human framework)
Systems that act rationally (focus on behavior and a general concept of intelligence)
The robots
are coming
 to steal our
jobs
Thank You

More Related Content

What's hot

[Seminar] 200731 Hyeonwook Lee
[Seminar] 200731 Hyeonwook Lee[Seminar] 200731 Hyeonwook Lee
[Seminar] 200731 Hyeonwook Lee
ivaderivader
 
Knowledge = Information + Context
Knowledge = Information + ContextKnowledge = Information + Context
Knowledge = Information + Context
Stefan Gradmann
 

What's hot (18)

Understanding artificial intelligence and it's future scope
Understanding artificial intelligence and it's future scopeUnderstanding artificial intelligence and it's future scope
Understanding artificial intelligence and it's future scope
 
Jainish ms ai
Jainish ms aiJainish ms ai
Jainish ms ai
 
Artificial intelligence research
Artificial intelligence researchArtificial intelligence research
Artificial intelligence research
 
[Seminar] 200731 Hyeonwook Lee
[Seminar] 200731 Hyeonwook Lee[Seminar] 200731 Hyeonwook Lee
[Seminar] 200731 Hyeonwook Lee
 
Ai
AiAi
Ai
 
Book Summary: Calm Technology (Author : Amber Case)
Book Summary: Calm Technology  (Author : Amber Case)Book Summary: Calm Technology  (Author : Amber Case)
Book Summary: Calm Technology (Author : Amber Case)
 
Transhumanism and brain
Transhumanism and brainTranshumanism and brain
Transhumanism and brain
 
Is Computer Science Science?
Is Computer Science Science?Is Computer Science Science?
Is Computer Science Science?
 
Past to Future Artifical Intellegent
Past to Future Artifical IntellegentPast to Future Artifical Intellegent
Past to Future Artifical Intellegent
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Artificial Intelligence
Artificial Intelligence Artificial Intelligence
Artificial Intelligence
 
Artificial Intelligence(AI)
Artificial Intelligence(AI)Artificial Intelligence(AI)
Artificial Intelligence(AI)
 
Domain-driven design - tactical patterns
Domain-driven design - tactical patternsDomain-driven design - tactical patterns
Domain-driven design - tactical patterns
 
The Future of AI is Generative not Discriminative 5/26/2021
The Future of AI is Generative not Discriminative 5/26/2021The Future of AI is Generative not Discriminative 5/26/2021
The Future of AI is Generative not Discriminative 5/26/2021
 
Artificial Intelligence: Expert Systems Components
Artificial Intelligence: Expert Systems ComponentsArtificial Intelligence: Expert Systems Components
Artificial Intelligence: Expert Systems Components
 
Suzanne Gildert - Is it too Early for Robot Rights?
Suzanne Gildert - Is it too Early for Robot Rights?Suzanne Gildert - Is it too Early for Robot Rights?
Suzanne Gildert - Is it too Early for Robot Rights?
 
Knowledge = Information + Context
Knowledge = Information + ContextKnowledge = Information + Context
Knowledge = Information + Context
 
Killer Robots, Evil Scientists and Other Tales of Woe
Killer Robots, Evil Scientists and Other Tales of WoeKiller Robots, Evil Scientists and Other Tales of Woe
Killer Robots, Evil Scientists and Other Tales of Woe
 

Similar to artificial-intelligence

Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
Iman Ardekani
 
Artificialintelignc 131019040643-phpapp01
Artificialintelignc 131019040643-phpapp01Artificialintelignc 131019040643-phpapp01
Artificialintelignc 131019040643-phpapp01
Amna Saeed
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
Bise Mond
 

Similar to artificial-intelligence (20)

Introduction to artificial intelligence
Introduction to artificial intelligenceIntroduction to artificial intelligence
Introduction to artificial intelligence
 
Introduction to Artificial Intelligence - Cybernetics Robo Academy
Introduction to Artificial Intelligence - Cybernetics Robo AcademyIntroduction to Artificial Intelligence - Cybernetics Robo Academy
Introduction to Artificial Intelligence - Cybernetics Robo Academy
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
Lecture 1
Lecture 1Lecture 1
Lecture 1
 
1 Introduction to AI.pptx
1 Introduction to AI.pptx1 Introduction to AI.pptx
1 Introduction to AI.pptx
 
Artificial inteligence
Artificial inteligenceArtificial inteligence
Artificial inteligence
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
History of AI, Current Trends, Prospective Trajectories
History of AI, Current Trends, Prospective TrajectoriesHistory of AI, Current Trends, Prospective Trajectories
History of AI, Current Trends, Prospective Trajectories
 
Artificial intelligence.pptx
Artificial intelligence.pptxArtificial intelligence.pptx
Artificial intelligence.pptx
 
introduction to ai
introduction to aiintroduction to ai
introduction to ai
 
AIML_Unit1.pptx
AIML_Unit1.pptxAIML_Unit1.pptx
AIML_Unit1.pptx
 
1.INTRODUCTION AI.pdf
1.INTRODUCTION AI.pdf1.INTRODUCTION AI.pdf
1.INTRODUCTION AI.pdf
 
Artificialintelignc 131019040643-phpapp01
Artificialintelignc 131019040643-phpapp01Artificialintelignc 131019040643-phpapp01
Artificialintelignc 131019040643-phpapp01
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
Cosc 208 lecture note-1
Cosc 208 lecture note-1Cosc 208 lecture note-1
Cosc 208 lecture note-1
 
#1 Lecture .pptx
#1 Lecture .pptx#1 Lecture .pptx
#1 Lecture .pptx
 
Advanced Artificial Intelligence
Advanced Artificial IntelligenceAdvanced Artificial Intelligence
Advanced Artificial Intelligence
 
Unit 1 ppt.pptx
Unit 1 ppt.pptxUnit 1 ppt.pptx
Unit 1 ppt.pptx
 
Lec-01.ppt
Lec-01.pptLec-01.ppt
Lec-01.ppt
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 

Recently uploaded

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Peter Udo Diehl
 

Recently uploaded (20)

НАДІЯ ФЕДЮШКО БАЦ «Професійне зростання QA спеціаліста»
НАДІЯ ФЕДЮШКО БАЦ  «Професійне зростання QA спеціаліста»НАДІЯ ФЕДЮШКО БАЦ  «Професійне зростання QA спеціаліста»
НАДІЯ ФЕДЮШКО БАЦ «Професійне зростання QA спеціаліста»
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Demystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John StaveleyDemystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John Staveley
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 

artificial-intelligence

  • 2. “AI is the study of techniques for solving exponentially hard problems in polynomial time by exploiting knowledge about the problem domain.“ - Elaine Rich
  • 3. Although artificial intelligence as an independent field of study is relatively new, it has some roots in the past. We can say that it started 2,400 years ago when the Greek philosopher Aristotle invented the concept of logical reasoning. The effort to finalize the language of logic continued with Leibniz and Newton. George Boole developed Boolean algebra in the nineteenth century (Appendix E) that laid the foundation of computer circuits. However, the main idea of a thinking machine came from Alan Turing, who proposed the Turing test. The term “artificial intelligence” was first coined by John McCarthy in 1956. Hi st ory of art i f i ci al i nt el l i gence
  • 4. ApplicatioApplicatio ns of AI :ns of AI : •Game playing •Automated Reasoning & Theorem Proving •Expert Systems •Natural Language Understanding & Semantic Modeling •Planning & Robotics
  • 6. ADVANTAGES OF ARTIFICIAL INTELLIGENCEADVANTAGES OF ARTIFICIAL INTELLIGENCE  Can take on stressful and complex work that humans may struggle/can not do.  Can complete task faster than a human can most likely  To discover unexplored things. i.e. outer space  Less errors and defects  Function is infinite
  • 7. DISADVANTAGES OF ARTIFICIAL INTELLIGENCEDISADVANTAGES OF ARTIFICIAL INTELLIGENCE  Lacks the "human touch"  Has the ability to replace human jobs  Can malfunction and do the opposite of what they are programmed to do  Can be misused leading to mass scale destruction  May corrupt younger generation
  • 8. We end up with four possible goals: Systems that think like humans (focus on reasoning and human framework) Systems that think rationally (focus on reasoning and a general concept of intelligence) Systems that act like humans (focus on behavior and human framework) Systems that act rationally (focus on behavior and a general concept of intelligence)