This document provides an overview of artificial intelligence, including its origins, current uses, and future directions. It discusses early researchers in neural networks and machine learning. It also outlines key areas within AI like computer science, machine learning, and deep learning. Several examples are given of current AI research applications, such as computer vision, natural language processing, robotics, and self-driving cars. The document also discusses topics like the concentration of AI talent in a few large companies, the potential impact of AI on jobs, and political issues related to automation.

1. A R T I F I C I A L I N T E L L I G E N C E
PA S T P R E S E N T A N D F U T U R E O F
!1
anoop.ambika@clapresearch.com

2. !2
W H AT I S A I

3. !3
O R I G I N S
One of the first researchers who demonstrated the use of
generalized back propagation algorithm for training multi-
layer neural nets
Built, in 1951, the first randomly wired
neural network learning
machine, SNARC
Turing machine, which can
be considered a model of a
general purpose computer

4. !4
L S T M
15 billion neurons are connected to 10,000 other neurons on average. Input
neurons feed the rest with data (sound, vision, pain). Output neurons trigger
muscles. Thinking neurons are hidden in between. All learn by changing the
connection strengths defining how strongly neurons influence each other.

5. !5
L S T M
Control robots
Analyze images,
Summarize documents
Recognize videos and handwriting
Run chat bots
Predict diseases and click rates and stock markets
Compose music

6. !6
D I V I S I O N S
Computer Science Artificial Intelligence
Machine Learning Deep Learning

7. !7
R E S E A R C H

8. !8
R E S E A R C H
Tech helped local police in Suzhou track down a burglar and
vehicle from surveillance video in only ten minutes. Amassed
600 million dollars in funding. Vision recognition using CNNs

9. !9
R E S E A R C H
A digital camera captures the same field of view (FoV) as the user and
passes the image to an attached compute unit capable of running real-
time inference of a machine learning model. The results are fed back into
a custom AR display which is inline with the ocular lens and projects the
model output on the same plane as the slide

10. !10
R E S E A R C H
NVIDIA Vehicle obstruction detection network using the CNN

11. !11
R E S E A R C H
How AlphaGo became the best GO player in the world

12. !12
R E S E A R C H
Robot that assembles an IKEA chair

13. !13
R E S E A R C H
Robot that opens a door

14. !14
R E S E A R C H

15. !15
R E S E A R C H
Sheeps at Unusual Places
How Neural Networks Get it Wrong

16. !16
R E S E A R C H
Videos of the UBER Self Driving
Car Crash

17. !17
R E S E A R C H
Google AI thinks this is a rifle

18. !18
R E S E A R C H
How tall was the prime minister of India when Narendra Modi
was born

19. !19
R E S E A R C H
What is the reality behind the appearance

20. !20
M O N O P O LY
15 companies have pretty much all the talent

21. !21
TA L E N T
20,000 people who can work on ML algorithms
200,000 people who can use tools like tensor flow

22. !22
U S E C A S E S
Think AI in everything you do

23. !23
J O B S
Are you doing something that some one tell you to do

24. !24
P O L I T I C S
Automation maximizes people’s freedom by giving us
more time to concentrate on the things we enjoy the
most.

25. !25
A B O U T U S
An AI/NLP enterprise search platform which correlates and
index huge amounts of structured & unstructured data
from variety of sources within the organisation and from
outside. Voody will generate relevant answers on
dashboards based on the natural language search string
input by the user