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ARTIFICIAL INTELLIGENCE
OVERVIEW OF AI—Part 2
CONTENTS
• CURRENTSTATUS
• GOALS
• APPROACHES
• BRANCHES
• TOOLS USED
• GENERALAIAGENTS
• RESEARCHAREAS
• TASK CLASSIFICATION
 Society Welfare : Analyse Satellite images to
identify poverty areas.
 Aviation Industry : Gate allocation for flight Air
traffic control, Autopilot and Ticket price
estimation system.
 Teaching: Companies creating Robots as
teachers
Current Status of AI
Current Status of AI
 Medicine and Surgery: Robots designed for
complex surgeries and researches.
 Car Manufacturing: Robotic arms are used in car
manufacturing units.
 Algorithms for Market analysis , Trading,
Recommendations and Data mining.
Goals of AI
• Increase Retention
• Increase Outcomes
• Lowers Cost
• Increase Access
• Decrease Time to completion
CYBERNETICS &
BRAIN
SIMULATION
COGNITIVE
SIMULATION
STATISTICAL
APPROACH
SYMBOLIC
APPROACH
AI Approaches
Branches OF AI
To make machine as thinking agent.
To build machine with the capability of making
working assumption and common sense.
Knowledge Representation
 To develop algorithms that human use.
 Algorithms can require enormous
computational resources and problem goes
beyond a certain size.
Deduction, Reasoning and Problem solving
To develop Decision making ability.
Multi-agent planning uses the cooperation and
competition of many agents to achieve the given
goal.
Learning
Machine learning is the fundamental concept of AI search.
 Unsupervised learning :is the ability to find patterns in
inputs stream .
 Supervised learning : includes both classification
and numerical regression.
 Deep learning is subset of M/c learning has
networks of learning unsupervised from
unstructured data.
Planning
BRANCHEs of AI
:
Natural Language Processinggives machines
the ability to read and understand human
language.
Common method of processing meaning from
natural language is through semantic indexing.
Machine perception is the ability to
use input from sensors to deduce
aspects of the world.
Natural language Processing
Perception
BRANCHEs of AI
Motion Planning & Mapping
 Intelligence is required for robots to handle
tasks such as object manipulation and
navigation.
Affective computing is the development of systems that
can recognize, interpret, simulate human affects.
Emotion and social skills are important to an intelligent
agent to understand others and to make better
decisions....
Social Intelligence
BRANCHEs of AI
• Various Search &
Optimization methods.
• Statistical Methods.
• Probabilistic Methods.
• Artificial Neural Networks.
AI Tools
• Various Search &
Optimization methods.
• Statistical Methods.
• Probabilistic Methods.
• Artificial Neural Networks.
AI Tools
GENERAL AI AGENTS
Research Areas OF AI
ARTFICIAL
INTELLIGENCE
Expert
System
Natural
language
processing
Neural
Network
Robotics
Fuzzy
Logic
System
Research Areas of AI
Expert system: Flight Tracking system, Clinical system
etc.
Natural language Processing: Google Now feature.
Neural Network: Pattern Recognition systems like Face
identification, character, handwriting and biometric scanning
system etc.
Robotics: Industrial robots for moving, spraying, painting,
precision, checking, cleaning, drilling etc.
Fuzzy Logic system: Consumer electronics, Automobiles .
Task classification IN AI
ARTIFICIAL INTELLIGENCE INTRODUCTION PART #2

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ARTIFICIAL INTELLIGENCE INTRODUCTION PART #2

  • 2. CONTENTS • CURRENTSTATUS • GOALS • APPROACHES • BRANCHES • TOOLS USED • GENERALAIAGENTS • RESEARCHAREAS • TASK CLASSIFICATION
  • 3.  Society Welfare : Analyse Satellite images to identify poverty areas.  Aviation Industry : Gate allocation for flight Air traffic control, Autopilot and Ticket price estimation system.  Teaching: Companies creating Robots as teachers Current Status of AI
  • 4. Current Status of AI  Medicine and Surgery: Robots designed for complex surgeries and researches.  Car Manufacturing: Robotic arms are used in car manufacturing units.  Algorithms for Market analysis , Trading, Recommendations and Data mining.
  • 5. Goals of AI • Increase Retention • Increase Outcomes • Lowers Cost • Increase Access • Decrease Time to completion
  • 7. Branches OF AI To make machine as thinking agent. To build machine with the capability of making working assumption and common sense. Knowledge Representation  To develop algorithms that human use.  Algorithms can require enormous computational resources and problem goes beyond a certain size. Deduction, Reasoning and Problem solving
  • 8. To develop Decision making ability. Multi-agent planning uses the cooperation and competition of many agents to achieve the given goal. Learning Machine learning is the fundamental concept of AI search.  Unsupervised learning :is the ability to find patterns in inputs stream .  Supervised learning : includes both classification and numerical regression.  Deep learning is subset of M/c learning has networks of learning unsupervised from unstructured data. Planning BRANCHEs of AI
  • 9. : Natural Language Processinggives machines the ability to read and understand human language. Common method of processing meaning from natural language is through semantic indexing. Machine perception is the ability to use input from sensors to deduce aspects of the world. Natural language Processing Perception BRANCHEs of AI
  • 10. Motion Planning & Mapping  Intelligence is required for robots to handle tasks such as object manipulation and navigation. Affective computing is the development of systems that can recognize, interpret, simulate human affects. Emotion and social skills are important to an intelligent agent to understand others and to make better decisions.... Social Intelligence BRANCHEs of AI
  • 11. • Various Search & Optimization methods. • Statistical Methods. • Probabilistic Methods. • Artificial Neural Networks. AI Tools
  • 12. • Various Search & Optimization methods. • Statistical Methods. • Probabilistic Methods. • Artificial Neural Networks. AI Tools
  • 14. Research Areas OF AI ARTFICIAL INTELLIGENCE Expert System Natural language processing Neural Network Robotics Fuzzy Logic System
  • 15. Research Areas of AI Expert system: Flight Tracking system, Clinical system etc. Natural language Processing: Google Now feature. Neural Network: Pattern Recognition systems like Face identification, character, handwriting and biometric scanning system etc. Robotics: Industrial robots for moving, spraying, painting, precision, checking, cleaning, drilling etc. Fuzzy Logic system: Consumer electronics, Automobiles .