here in ppt discussed about AI and uses of AI in CAD .here there is also conversation between facebook robots and about sophia

1. ARTIFICIAL INTELLIGENCE

2. INTRODUCTION
• AI the leading technology.
• AI is also called machine intelligence.
• AI is a branch of computer science that emphasizes the
development of machines , thinking and working like humans
EX: speech recognition, problem solving , Learning …
• AI programs not only perform the tasks ,but also improve their
skills or performance by experience.
• AI programs are symbolic and qualitative ,non numeric.
• They go through guess work. They search for solutions by
reconsidering decisions
• Any techniques that enables computers to mimic humans
intelligence using if-then rules, logics, decision trees and machine
learning
• Amazon uses ANN to generate recommendations for customers

3. APPLICATIONS OF AI:
 Expert systems
 Natural language
 Machine vision
 Neural networks
 Fuzzy logics

4. APPLICATIONS OF AI:
 Perception vision and speech
 Medical Diagonsis
 Chemical Analysis
 Financial planning
 Robot control
 Engineering design and manufacturing

5. AI programs:
PYTHON
C++
JAVA
LISP
PROLOG

6. Structureandcharecteristicsof expertsystems
 An expert system technology has emerged from
resarch in AI.
 Expert system is a computer programme that
uses AI technologies to simulate the judgement
and behaviour of human or organization that
has expert knowledge and experience in
particular field.
 It is using the knowledge base and inference
procedures

8.  The heart of an expert system is knowledge base .
Reasoning function is carried out by inference
engine.

9. Buiding of an expert system:
Building up a knowledge base:
 The process of representing knowledge formally is
referred to as knowledge representation
 Building up concepts
 Then the rules
 Then model and strategies

10. Relation between Knowledge and
Intelligence

11. INFERENCE PROCESS
 It is the process of combining facts and rules is
called as inference.
 It is a kind of search technique where pattern is
matched against a set of stored paterns.
EX: Image recognition

12. Knowledge representation
It is two forms: They are
1) Declerative Knowledge
2) Procedural Knowledge
Ways to represent Knowledge
 Production rules
Descion Tables
Frames
Semantic Networks
Predicate logic
Conventional programming

14. Expert system in CAD
 Integration between geometry and manufacturing
 Design of FMS
 Part selection
 Facility layout
 Process planning
 Chip design
 Selection of welding process and electrodes

15. Benefits of expert system
 Some expert systems do better job than human beings
They make few mistakes and they are consistent
 It is used as training vehicle to train non experts
 Experts systems can free experts from repetitive and
routine tasks
 Expert system is compatible with managers descision
styles and based on judgement
 It can preserve scarce expertise
 It enable operations in hazardous environment

16. Examples of expert systems
ABSTPRIPS MECHO
CATS-1 MYCIN
DESIGN ADVISOR PROSPECTOR
DENDRAL TEIRESIAS
ESTIM VM
EXDEM WELDEX
GARI XCON
IMS PXDES

17. AI IN CAD
• With AI based tools design synthesis can be performed
directly without going through separate design review
and synthesis. Because the knowledge and experience of
experts is available in AI tools
• AI functions as a product design review team
• Components of product stored in structural and
hierarchial form
• Links are provided between components and parts with
in the product structure
• Product behaviour deduced by qualitative and
quantitative simulation
• It is very easy to add new components or parts into
database and it is easy to add knowledge based rules

18. Applications of AI in design
 Decomposition
a) Top-down approach
b)Bottom –up approach
 Plan selection and refinement
 Constraint based reasoning
 Case based reasoning
 Consistency maintenance

21. ANY QUERIES

22. THANK YOU
BY
B.NAGA MOHAN