AI introduction event.

2. AI -> What, Why, Types
Key Concepts -> ML, Neural Networks, DL
Neural Networks -> Structure, Function

3. Abdul Rasheed Esa

4. 1st Prize in Nawab shah Alam hackathon
1st Prize in HackSrm AP Hackathon
Winner of Code for India Hackathon
2nd in Grand finale of SIH 2022

5. AI?
What and
Why

7. Algorithms Functions

8. AI Adapts
New
environment
Old
environment

9. AI Decides

10. Bridge
AI Overcomes
Goal
Yay

12. Types of AI
A broad
classification

14. ‘Weak’ AI
‘Alpha go’

15. Ayatul Kursi
Alexa, Weak or Strong
AI?

16. ‘Strong’ AI
INDISTINGUISHABLE From the human mind

17. AKA AGI
Artifical General Intelligence

18. Key Concepts
of AI
Neural networks,
ML,
Deep learning

19. Hierarchy
Teaching computers to
perform some task
Mimicking Human Brains
NN with more than 3 Layers

20. Throne of
AI

22. Building
Block
‘Neuron
’
“a thing that holds a
number.”

23. Structure
of a
Neural
Network

25. Explain this to a computer

30. Numbers =Sum of Shapes

32. Not just perfect shapes
Edg

34. Lion?

36. But how do we
ACTUALLY
detect these features?

39. let’s say that the hope is
for this one particular
neuron in the second layer
to pick up on whether or
not the image has an edge
in this spot

40. a positive weight
suggests that the
neuron in the second
layer should also be
on, and a negative
weight suggests that
the neuron in the
second layer should
be off.

43. Ensuring Narrow Edge

44. Order of Activation?

46. Generative
AI
Neural networks,
ML,
Deep learning

51. Generative
Language
Models
Neural networks,
ML,
Deep learning