Through this video series
I am going to try and bridge
 Artificial intelligence with Vedic Algorithms 
whom i refer to as 
Cosmic or Brahma (ब्रह्म) intelligence
My main focus would be
on applications especially
 in healthcare through Āyurveda 
Being a novel project
I  would hence request all of you to
 watch these videos without skipping
Since Youtube does not support 
multiple audio streams
I will be releasing 2 versions of 
 this  videos series as  playlist
Hindi Audio with hard coded English subtitles
English Audio with multiple language subtitles 
which would be updated as and when available
The English subtitles for 
 English audio are enabled  as default 
but incase you cannot see them on your device
Watch this animation to access them 
& select languages 
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so you do not miss out on any fresh release
Artificial intelligence 
 is the science of training machine
 to imitate or reproduce human task. 
Our brain works effortlessly & seamlessly
 to calculate the world around us. 
Artificial Intelligence is the concept that 
a machine can do the same.
if it can be given the cognitive ability 
 of a human brain
to perform functions such as
perceiving
learning,
 reasoning 
 and solving problems
The term was invented in the 1950's 
when scientists began  to explore
how computers could solve 
problems on their own.
Most of our smartphones
or even the Internet 
uses Artificial intelligence.
Artificial Intelligence works 
by training the machine to make  
a better version of itself 
each day as it learns 
 previous tasks & execution 
 same as a human brain
For example when we first learn 
 to play a piano
& each day as we practise 
we become better at it.
So how is a machine 
made to learn from itself ?
Basically it is done by
implementing a brain in it 
which works similar to human brain 
or mimics it.
It’s learning from examples 
as we humans do.
It self teaches itself 
to filter inputs 
through layers to learn 
how to predict & 
classify information
This method is called
The human brain 
processes information
through a chain of Neurons
communicating with each other 
known as a
Human Neural Network
In the human brain,
there are about 
100 billion neuron's
Each Neuron connects to 
about 100,000 of its neighbours.
The neuron has a 
Body,
Dendrite
and an Axon. 
The signal from one neuron
 travels down the axon 
and transfers to the dendrite 
 of the next neuron. 
That connection 
 where the signal passes
is called a Synapse.
Deep learning attempts to mimic 
this activity happening in 
the layers of neuron's 
in the neocortex 
of the human brain
Literally by creating an 
Artificial Neural Network
and at a level that works 
 for individual machines.
You get input 
from observation &
you put your input
into one layer.
That layer creates an output 
which in turn becomes the input 
for the next layer
 & so on. 
This happens over and over 
until your final output signal!
Think of the input layer 
as your senses;
the things you 
See, 
Smell 
 and Feel. 
For example let us take coffee
We identify it mostly by
Smell,
Taste
& Looks
And each one of these parameters 
are individual
Means
you can identify coffee
just by looking at it
Smelling it or
Tasting it.
So let us take 
the example of smell
Imagine a blind person
smells coffee
 for the first time
The brain inputs it 
as a signal 
&  stores it 
as a distinct smell
When he smells it again,
 the signal is processed
If there is a match 
the output delivered
as coffee.
As the person 
keeps on drinking  coffee
over time 
this process continues
& the brain
learns & develops 
more refinement towards 
coffee's intricate properties.
For example 
it slowly develops awareness 
of not just coffee
 as an end product;
but the beans used, 
the roast they have, etc.
This is how intelligence develops
layered on 
Retention, 
Recall & 
Application of data
corroborated with 
 Dhi धि
Dhriti धृति
& Smriti स्मृति
 Algorithms of Veda  वेद
This algorithmic 
input output mechanism
is the basis of 
Artificial Neural Networks
I would be covering this 
Vedic Neural network 
based on
Dhi,  Dhruti  & Smriti
in a separate video
We can ascertain from this example
that to create a  Artificial intelligence
we require a machine 
or hardware which can process 
parallel computations 
much as a brain does.
Data  which is 
Retained, Recalled  & Applied
through universally progressive algorithms
to arrive at all 
possible conclusions & results
This allows the computer 
to self teach itself
much as how 
we self teach ourselves
and open up 
immense possibilities
of Neural Networks
which we as humans
fail to do 
 on individual terms
due to our 
Social,
Moral,
Physical &
Spiritual inhibitions
Which forces us to think 
on linear terms
& not expansive 
as Veda's indicate 
If you are interested 
you can read or watch youtube videos
about how Artificial Neural Networks work 
& create precise outputs over time. 
This video is not about 
Artificial Intelligence
but how its concepts 
 are similar to 
 Vedic transmissions
So now
Let us take a 
 small example 
on which we can build
our propositions
For now, 
I will take 
a simple example 
of a Clay Pot 
Clay Pots come in many shapes
These shapes depend upon 
the creativity of the potter
who can imagine & 
& create shapes.
Hence we cannot put a finite number
on the output 
that only this many shapes 
 can be created 
by all potters 
 of the world.
We very well know 
Imagining a shape
& creating it
 are two different things
I can design a shape
but maybe I may not have 
the skills to manually make it
Similarly I may be excellent at
making shapes
from designs handed to me.
If we have to create 
 an AI system
which can design & create 
 various pots from clay
we have to train it 
to become a
Potter
& a Designer
Now logically 
design can be anything 
 on paper
But to shape & create it
 in real, is a skill
& hence logically 
the AI system
first needs to learn 
& master it
& then work out 
 designs 
For that 
we first have to understand
how a potter 
 creates a design 
from clay
His base Neural Network
Our mind may initially go 
to the tools & techniques he uses 
to shape pots
But thats on a secondary level
He uses them after knowing 
precisely what and when to use
So at primordial level
how does he do it?
How just by looking 
 or imagining a design
his neural network 
confirms the reality of that shape ?
The answer is,
he understands the
the inherent  properties
 or atomic reality of clay
which enables him  to create
 any shape from it.
So to make the machine 
 think like a potter
We must create a
neural network
where we first train
the computer
to understand the properties of clay
of how it can be shaped 
 in various forms.
We can give it some reference shapes
 as examples
By understanding the
universal properties of clay 
the machine each day 
will first perfect 
to create those shapes
& then slowly will learn 
 to create different shapes
much like a potter .
By training the  computer 
to accept the properties of clay
as the fundamental reality,
it slowly self teaches itself
about its innate 
applicative possibilities.
Now look at this verse from 
Chāndogya upāniṣat  छान्दोग्य उपनिषत
This implies that 
 pot being a mere product of clay
does not have 
a separate identity.
It is just Clay,
& if we know the clay
we can know all things 
shaped out of it.
Do not worry,
Here I am not going to give
 a discourse on metaphysics
But would like to point
 to the concepts of
Universal Algorithms,
Vedas give us 
through which we know 
nature of creation,
Past,  Present & Future.
This I call as,
Brahma ब्रह्म Intelligence
Or Cosmic Intelligence
the Neural Network 
of Cosmos
Right now hold on 
the term "Algorithm" 
 as standalone.
I will explain it a bit later.
Now let me elaborate a bit further 
 by introducing 2 terms
which will lay the foundations of 
 of how
these  Algorithms can be used 
towards AI 
Ther terms are
Satyam सत्यम
& Ṛtam ऋतम् 
Though both of these words
 are used synonymously, 
there is a difference.
on whose basis 
the entire foundation of 
Brahma or Cosmic Intelligence 
lies.
Let me elaborate a bit further
Have a look at these verses from 
 Ṛgveda ऋग्वेद 
 & Atharvaveda अथर्ववेद
In brief they indicates that 
Satyam is Truth 
and Ṛtam  
is the law that
governs the working 
of that Truth.
Here the word Truth
is not taken as 
 comparative ,
Like  my truth
& your truth 
 which is relative.
but eternal Truth 
that we experience. 
Let me try to simplify it.
Look at this Vaiśeṣika  Sutra  वैशेषिक
which translates loosely as
Objects stay in hand 
due to their 
conjunction with the hand
When the conjunction is lost, 
 the object falls down 
due to its own weight
The Vaiśeṣika sutra
earleist documented around
500 BC
In brief are explaining us 
the universal Ṛtam  
 or the  Law of Gravity
much as later attributed to
Sir Isaac Newton
in the late 16th century 
with the famous example of 
apple falling from the tree.
In terms of Satyam & Ṛtam
The apple here is Satyam.
Its remaining conjoint to the tree
 is  Satyam
Its falling down is
also Satyam 
because we can experience it.
Why it falls down 
 is Ṛtam, 
the Law of Gravity
We can decipher that
the truth of apple 
joint to a tree
& its falling down 
 which appears as common phenomena 
 to many,
the laws governing these actions,
 the Ṛtam
Were self revealed 
To the Vaiśeṣika
due to they way they 
programmed their Neural Networks
based on algorithms 
of their philosophy
called Darśana दर्शन
Darśana are exponential algorithms
through which we understand the
 the immense possibilities
of cosmic creations।
I will try & make 
separate video about 
Darśana
Cosmic & 
 Artificial Intelligence।
Similarly,
Clay is empirically real 
or Satyam
and the pot 
which is a modification of clay 
is also empirically real 
or Satyam
as we can see and exepreince both
But the manner in which 
the clay was shaped to pot
 is its Ṛtam.
the universal law 
which when understood
can project 
innate possibilities.
So each manifestations 
in the cosmos
we experience as Truth 
or Satyam
themselves reveal
 their Ṛtam
or the order in which
 they are Created,
Destroyed 
 or Intereact
with each other.
These universal Ṛtams
of all cosmic interconnectedness
from micro to macro
zero to infinity
have already been put forth 
in the Vedas
and are there to be found 
for ones who can observe.
Veda
Yoga
Tantra
& Jyotiśa 
have  all expounded 
cosmic creations
& their algorithmic interconnectedness
the Satyam & Ṛtam.
The importance of Ṛtam 
or Emphasis on 
Algorithms 
can be understood 
from the fact that
In the Ṛgveda, 
the term Ṛta 
 appears as many as 
390 times.
It has been characterised as 
"the one concept 
which pervades
the whole of
 Ṛgvedic thought".
I had requested you all
to hold on to the term 
Algorithm.
because there was 
no straight definition then.
I can now elaborate
by saying that
the term Algorithm 
which In use in this context 
refers to a 
 applicative method
which is based on collection of 
universal or cosmic laws
to arrive at
possibilities & probabilities 
in an exponential manner
from micro to macro.
These Algorithms are known as 
Siddhanta सिध्दांत
Etymologically 
Its a conjoint of
2 words.
Siddha सिध्द
which mean
Perfection, 
Established,
or an Indisputable result.
Anta अंत
which  means
End 
or  nothing more beyond.
So Siddhanta means
Cosmic algorithms
 or Laws
which is perfect 
which can 
never be challenged 
 or refuted
Past ,
Present
or Future
For example,
The Tridośa  त्रिदोष siddhanta 
of Vedas
One must note that
Siddhantas are different from 
Theorums,
Postulates 
or Hypothesis.
which are 
 challenged,
refined
refuted
or accepted 
over time.
These are known as 
 Vāda वाद
which mean 
For example ,
 Vivartavāda विवर्तवाद
& Parniāmvāda परिणिमवाद 
 in relation to 
Advaita अद्वैत
There are different layers 
 to Siddhānta
in conjunction with
 topic of interest
which I will explain
 in future videos.
Well 
if you all are still with me 
you can now Imagine
 the immense possibilities
of a AI system 
that is based on these 
Siddhānta's 
A conglomeration of 
Neural Networks 
which each day
builds a better version
of itself.
We may even ask then
can  the AI developed 
on these algorithms
one day 
can answer  
the quintessential paradox 
of all 
Vedic,
Tantric
 & Yogic crux...
What was there..
when there was nothing ?
Well thats not the scope 
of these videos or series 
asI look to concentrate on 
 applications in
 real life scenarios 
& not dwell on 
Metaphysics
In the next video 
I will continue this discussion
by citing example from
Āyurvedic algorithms 
 & its applications.
Those who found 
this video helpful,
do read about 
basic AI 
 & Neural Networks
& try relate to them 
with certain Siddhānta's 
 you may find interesting
Those who are into 
Programming 
I hope this 
inspires you
 to create 
 functional Ai models
for Veda's 
& especially Āyurveda 
& help enrich 
 & unleash its  
healing powers
 in the upcoming era.
