This presentation is present the history and invention of the artificial intelligence . This presentation is express the power of artificial intelligence in present and future. In this presentation we explain the natural language programming, speech recognition, computer vision,robotic, automatic programming, quantum computing.This presentation also express the power of neural network power in present and future

1. Prakash Chand Sharma & Devendra Choudhary
Founders :- Zumosun Soft Invention Pvt. Ltd.
Entrepreneur’s/ Research Scientists

3. Artificial Intelligence History-1
1. 1943:- Maculloh and Pits, boolean
circuit model of brain…
2. 1950:- Turning Computing Machine &
Intelligence…
3. 1950:- Early AI Programming,
Samuel’s Checker Prog,and Simon’s
Logic, Gelisnters Geometry Engine….

4. AI will be Dangerous

5. Artificial Intelligence History-2
4. 1952-1956: - Alam Turing(1950), John
McCarthy (1956) conference at Dartmouth
College
5. 1960-70:- Knowledge based system(KBS)
Weak AI
6. 1980-1990:- Neural Network (NN) Strong AI
7. 1995- 2019:- Agents…Agents….Agents…..

6. AI will be Dangerous

7. Artificial Intelligence
Standard Definition
Artificial Intelligence (AI) as the theory and
development of computer systems able to
perform tasks normally requiring human
intelligence, such as visual perception, speech
recognition, decision-making, and translation
between languages.

8. AI will be Dangerous

9. AI METHODS
Symbolic AI/Weak AI Computational Intelligence/
Strong AI
Focus on Knowledge based
system(KBS)
Biological inspired system
includes Math's
KBS Network Neural Network (NN), Fuzzy
System
Separations of the
knowledge by number of
way
Can think like human,
perception, reasoning,
learning
Like- Rules, frames,
Algorithm, inference engine

10. AI will be Dangerous

11. AI Simulation
1. Neural Network(NN):-
 Biological inspired system
 Connected of computational “Neurons”
 Organized by layers

12. AI will be Dangerous

13. Organized by layers

14. Organized by layers

15. Organized by layers
 Adjusting the weights of the network
 NN Can “Trained “ too
 Approximate virtually any nonlinear function
to a required degree of accuracy
 A learning algorithm (Such as back
propagation) used to adjust the weight’ s in
the network’s.

16. Intelligence
Intelligence Degree:- A response to a complex
situation .
It is very flexible
It Describe: - Objects+ Events + Function+
Process +…
In terms of their qualitative features plus logical
and computation features….

17. Application AI
 Expert Systems: - Decision Making Ability of machine, medical diagnosis..
 Natural Language processing (NLP):-Understand the human language and
speak…Hindi, English+
 Speech Recognition: - Recognition and translation of spoken language
 Computer vision:- understanding through digital images and videos, hear,
feel…..
 Robotics:- Automation : - Control , sensory feedback and information
processing
 Automatic Programming: - Write the code at higher abstraction

18. Robots
Manipulators Mobile Robots Humanoid
Movement objects without
touch
Capable to around not
fixed
Cooking, House Cleaning,
Space research
Software Age –read data from sensor-decide what to the next- directs the effects to
act in the physical world

19. AI Approaches
Approaches Tools Learning Methods
Cybernetics & Brain
simulation
Search & Optimization Control Theory
Symbolic Logic Languages
Sub-Symbolic Probabilistic
Statistical Reasoning & Statistical
Integrating the approaches Neural network

20. Our Brain
Brain Neuron Brain Computes
1012 Neurons in Human 108 More per CPU
1014 many more Synapses Super Computer 1012 bits of
RAM
Cycle Time 10-3 seconds/ 10 milli
second
Cycle time order 10-9 seconds

21. AI Programming Languages
Python:- HTML.., CSS
Java Libraries
R Frame work
Lisp
Prog
Julia
SQL
F#

22. AI FUTURE
Some day there will be a knock to your door
As you open it and you see large number of robots machine
They destroy everything and theft everything ( Looting you)
Through by anti- social elements

23. AI will be Dangerous

24. Thank You !