Understanding the implementation of the Brain functions to machinery

1. UNDERSTANDING THE BRAIN:
THE NEUROBIOLOGY OF EVERYDAY LIFE
DECISION MAKING
Presented by SIMI PAXLEAL J
FROM NEUROSCIENCE TO ARTIFICIAL
INTELLIGENCE

2. Covered Today
A brief outline
Decision Making
Creation of Technology
Brain Knowledge
Recent Developments
Relationship with Technology
To the Future

3. The Decision Making
Elucidation of the
Process of selecting a particular option
among a set of alternatives expected to
produce different outcomes. The person
making decision, essentially uses the process
of identifying and choosing something using
values, beliefs, and preferences. Help one
make deliberate, thoughtful decisions by
organizing relevant information and defining
alternatives while decision making.

4. Our Future
AI around the brain technology
Many research scientists are making efforts
to find ways to make machine or technology
think and make decisions like the human
brain in times of emergency, climate threats,
uncertainity and with thoughts of future. As
AI lacks the aspect of continuous learning as
human brains do.

5. Where do we go next?
HOW DO WE GET THERE?

6. MOVING TOWARDS NEUROSCIENCE
WITH BRAIN
Neuroscience, inspires people to understand the brain activity
recordings that can be fed into an artificial neural network, a computer
architecture and tasked it with learning how to reproduce the data. The
recordings came from a small subset of neurons in the brain.

7. CREATION OF BRAIN-AI
TECHNOLOGY
BRAIN -
NEUROSCIENCE
Studying facets of the
nervous system that
includes brain, spinal cord
and peripheral nervous
system
ARTIFICIAL
INTELLIGENCE
Simulation of the human
intelligence in machine by
programming to think like
humans and mimic human
like actions.
IMPLEMENTATION
REALITY
Using tools like Neuro-
imaging, Neural encoding,
Natural Language
Processing (NLP) tools etc.

8. Human brain to
Machine
Neuroscience
Neuroscience help us understand
the series of human functions that
can be similated to machine
algorithm

9. Neurons
~86 billions or more
Brain has more than 86 billions of
neurons.
The neurons, basic brain cell that
specialize in transmitting
information throughout the body.

10. Routes of
Decision Making
in Brain
~Two Routes
There are two routes for decision
making. Unconscious Emotion are
the involuntary movements like
respiration, digestion, and pulse.
Conscious thinking involves aspects
-thinking, feeling, sensing and
intuiting.

12. Brain different from AI?
Biological Neurons or Nerve cells
Brain Artificial Intelligence Machine
Silicon Transistor or electronic
200 million neurons and 32 trillion
interconnections
1 billion bytes RAM and trillion of bytes on
disk
Energy consumption: 6-10 Joules operation
per second
Energy consumption: 10-16 Joules operation
per second
Learning Capacity Programming capacity

13. The Artificial
Intelligence Age
AI in our daily lives
Improves social media and digital assistants
like Twitter, Google Now, self-driving cars,
email filtering, Google predictive searching,
product recommendation, Google Maps,
Online Airline Fight bookings etc.

14. Pre-AI
Human brain had to do all the work
manually physically and mentally. The
mental stress and demand innovation
having clash with time. Manual tasks
took longer time requires stamina
sometimes not match requirement.
Post-Neuroscience & AI
Tools using Neuroscience and AI able
to detect the problems of stress and
ease the mental and physical strain .
Able to do the functions of brain as
normal human do.

15. AI Timeline
By Year

16. Timeline of
AI
By Year timeframe
1600'S
Mechanical calculation that affecting the
human calculation and financial decisions
1800'S
First design of the machine programming,
by Charles Babbage and Ada Lovelace
1943-1965
Establish the parallels between human brain
& computing machines - device term AI -
learning machine intelligence
1980 -2000
Machine to emulate human brain - Deep
blue -Roomba autonomous vaccum
cleaner
2000'S
Replace human with machine and AI at
the intelligence and physical level to the
point of decision making itself

17. Recent Developments
ADVANCED ANALYTICS
Autonomous data examination, using sophisticated
techniques and tools beyond traditional business intelligence
(BI)
MACHINE LEARNING& NEURAL NETWORKS
Mimics the way the human brain operates and learns like
human with series of algorithm
VIRTUAL ASSISTANTS
Services to entrepreneurs or businesses from a remote location

18. Artificial Neural Network
Artificial Neural Network (ANN)
ANN, effective computing system whose central theme borrowed from the
analogy of biological neural networks
Each neuron has an internal state, called activation signal
Output signals produced after combining input signals and activation rule,
may be sent to other units, used as basic principle for decision making
process both in the human brain and simulate ANN
ANN acquires large collection of units that interconnected in some pattern
to allow communication between units

20. TECHNOLOGY
AROUND US
VIRTUAL
ASSISTANTS
Service from remote
location with capablities
as of human brain
NEURAL
NETWORKS
Series of algorithms that
recognize underlying
relationships in a set of
data through process that
mimics neuron
CASHLESS
PAYMENTS
Machine capable to
perform financial
calculation as human does
in physical environment
VISUAL
IDENTIFICATION
Similar to human brain
identify the different
shapes and faces

21. 270% OF
GROWTH
OVER PAST 4
YEARS
Relationship with Technology
EMPLOYING AI
Despite Talent Shortages, the Percentage of
Enterprises Employing AI Grew 270 Percent Over
the Past Four Years

22. TO THE
FUTURE

23. MAJOR
CHANGES
COMING

24. THANKS
TO
PEGGY MASON
Course Instructor and Professor,
The University of Chicago
COURSE OFFERED BY
The University of Chicago
SIMI PAXLEAL J SIMON
Researcher

25. Get in Touch
We'd love to hear your thoughts
LINKEDIN
www.linkedin.com/in/simipaxlealjaiwantsimon/
EMAIL
paxsimileal@gmail.com

26. Be Inspired
IMAGINATION IS MORE
IMPORTANT THAN KNOWLEDGE.
ALBERT EINSTEIN