Artificial intelligence introduction
application.
HI, I am presenting a course on artificial intelligence must watch on my channel TEACHISEASY
this is the second video in the series.
hope you like the information given.
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 .