Presentation On Artificial Intelligence

1. ARTIFICIAL
INTELLIGENCE
- Saurabh Kawli

2. WHAT IS AI ?

3. TYPES OF AI

4. AI CONSISTS OF :

5. MACHINE LEARNING
Machine learning is an application of artificial intelligence
(AI) that provides systems the ability to automatically learn
and improve from experience without being explicitly
programmed

6. DEEP LEARNING
Deep learning is a subset of machine learning
in Artificial Intelligence (AI) that has
networks capable of learning unsupervised
from data that is unstructured or unlabeled.

7. HOW AI WORKS !
Two Methods:
i. Hardcore Programming
ii. Artificial Neural Networks

8. ARTIFICIAL NEURAL NETWORKS
Information processing paradigm that is inspired by the way biological nervous systems
Neural nets are widely used in pattern recognition because of their ability to generalize and
to respond to unexpected inputs/patterns

9. Input 1
Output
Input 2
Input Layer Hidden Layer Output Layer
ARTIFICIAL NEURAL NETWORKS

11. ADVANTAGES OF AI

18. DISADVANTAGES OF AI

21. Is it the Designer
Is it the Programmer
Is it the Tester
Or some of each

23. CONCLUSION :
Artificial Intelligence and the technology are one side of the life that always interest and surprise us with the new ideas,
topics, innovations, products …etc. AI is still not implemented as the films representing it(i.e. intelligent robots), however
there are many important tries to reach the level and to compete in market, like sometimes the robots that they show in TV.
Nevertheless, the hidden projects and the development in industrial companies.
At the end, we’ve been in this research through the AI definitions, brief history, applications of AI in public, applications of
AI in military, ethics of AI, and the three rules of robotics. This is not the end of AI, there is more to come from it, who
knows what the AI can do for us in the future, maybe it will be a whole society of robots.

24. ANY ?

25. THANK YOU