have you ever taught what would be our future with the
what would be our future with the
what would be our future with the existence of artificial intelligence in
existence of artificial intelligence in
existence of artificial intelligence in our daily life current understanding of
our daily life current understanding of
our daily life current understanding of artificial intelligence is intelligent
artificial intelligence is intelligent
artificial intelligence is intelligent machine that has the capacity of
machine that has the capacity of
machine that has the capacity of communication with humans and of course
communication with humans and of course
communication with humans and of course sometimes a little bit scary from my
sometimes a little bit scary from my
sometimes a little bit scary from my understanding artificial intelligence is
understanding artificial intelligence is
understanding artificial intelligence is a decision-making system that has the
a decision-making system that has the
a decision-making system that has the capacity of finding optimal solution in
capacity of finding optimal solution in
capacity of finding optimal solution in interaction with its environmental
interaction with its environmental
interaction with its environmental signal or in response to the specific
signal or in response to the specific
signal or in response to the specific signal as an example an artificial
signal as an example an artificial
signal as an example an artificial intelligence can be a decision-making
intelligence can be a decision-making
intelligence can be a decision-making system a cognitive system that help us
system a cognitive system that help us
system a cognitive system that help us to make the optimal decision even by
to make the optimal decision even by
to make the optimal decision even by direct connection to our brain or it can
direct connection to our brain or it can
direct connection to our brain or it can be a smart carrier of an anti-cancer
be a smart carrier of an anti-cancer
be a smart carrier of an anti-cancer drug that specifically targets cancer
drug that specifically targets cancer
drug that specifically targets cancer cell with the lowest effect on the
cell with the lowest effect on the
cell with the lowest effect on the normal cells from my background in
normal cells from my background in
normal cells from my background in veterinary medicine I was always
veterinary medicine I was always
veterinary medicine I was always fascinated by their variety in the
fascinated by their variety in the
fascinated by their variety in the morphology and behavior of different
morphology and behavior of different
morphology and behavior of different species of animals and I was so curious
species of animals and I was so curious
species of animals and I was so curious about the programs and codes behind all
about the programs and codes behind all
about the programs and codes behind all of these varieties and this motivated me
of these varieties and this motivated me
of these varieties and this motivated me to continue my studies in genetics
to continue my studies in genetics
to continue my studies in genetics biochemistry and then later in stem cell
biochemistry and then later in stem cell
biochemistry and then later in stem cell biology biological systems are highly
biology biological systems are highly
biology biological systems are highly cognitive systems in different forms
cognitive systems in different forms
cognitive systems in different forms from their very primitive to the most
from their very primitive to the most
from their very primitive to the most developed forms and they are able to
developed forms and they are able to
developed forms and they are able to make a smart decision in intra in their
make a smart decision in intra in their
make a smart decision in intra in their interaction with their environmental
interaction with their environmental
interaction with their environmental factors
factors
factors just as chameleon that is able to make
just as chameleon that is able to make
just as chameleon that is able to make decision over its own ask in color and
decision over its own ask in color and
decision over its own ask in color and can synchronize its skin color with the
can synchronize its skin color with the
can synchronize its skin color with the environment just as a hiding mechanism
environment just as a hiding mechanism
environment just as a hiding mechanism or the self navigation capacity of birds
or the self navigation capacity of birds
or the self navigation capacity of birds over the entire of their migration
over the entire of their migration
over the entire of their migration flight in another example the
flight in another example the
flight in another example the engineering is key enough honey
engineering is key enough honey
engineering is key enough honey is for making highly specific structures
is for making highly specific structures
is for making highly specific structures and architectures of honey honeycomb and
and architectures of honey honeycomb and
and architectures of honey honeycomb and more importantly unlike any other
more importantly unlike any other
more importantly unlike any other human-made computers biological systems
human-made computers biological systems
human-made computers biological systems are able to make decision in every
are able to make decision in every
are able to make decision in every single of their subunits for example in
single of their subunits for example in
single of their subunits for example in a growing embryo
a growing embryo
a growing embryo every single stem cell is able to make
every single stem cell is able to make
every single stem cell is able to make its own decision in communication with
its own decision in communication with
its own decision in communication with other cells to find its own position
other cells to find its own position
other cells to find its own position collectively they are able to
collectively they are able to
collectively they are able to communicate each other making highly
communicate each other making highly
communicate each other making highly specific geometries which is growing in
specific geometries which is growing in
specific geometries which is growing in size and complexity by time this is
size and complexity by time this is
size and complexity by time this is called
called
called self-organization self-organization
self-organization self-organization
self-organization self-organization capacity of SM cells in a growing embryo
capacity of SM cells in a growing embryo
capacity of SM cells in a growing embryo pretty much is like the formation of a
pretty much is like the formation of a
pretty much is like the formation of a castle in a sandwich though during the
castle in a sandwich though during the
castle in a sandwich though during the embryonic development in addition to the
embryonic development in addition to the
embryonic development in addition to the geometries thousands of different
geometries thousands of different
geometries thousands of different machineries are forming by time in
machineries are forming by time in
machineries are forming by time in different tissues and organs now the big
different tissues and organs now the big
different tissues and organs now the big question is that how we can learn from
question is that how we can learn from
question is that how we can learn from biological system in designing and
biological system in designing and
biological system in designing and improving our decision-making system
improving our decision-making system
improving our decision-making system currently the main challenge in
currently the main challenge in
currently the main challenge in artificial intelligence is about the
artificial intelligence is about the
artificial intelligence is about the designing decision making algorithms
designing decision making algorithms
designing decision making algorithms which could find the optimal solution in
which could find the optimal solution in
which could find the optimal solution in interaction with the environmental
interaction with the environmental
interaction with the environmental signals especially when the system is
signals especially when the system is
signals especially when the system is interacting with several factors this
interacting with several factors this
interacting with several factors this class of problems in mathematics are
class of problems in mathematics are
class of problems in mathematics are called NP problems because by their
called NP problems because by their
called NP problems because by their complexity they cannot be solved by
complexity they cannot be solved by
complexity they cannot be solved by logical time and they are considered as
logical time and they are considered as
logical time and they are considered as unsolvable problems in contrast to the
unsolvable problems in contrast to the
unsolvable problems in contrast to the other class of problems that we call P
other class of problems that we call P
other class of problems that we call P problems or that means they can be so
problems or that means they can be so
problems or that means they can be so of easily biological time such as
of easily biological time such as
of easily biological time such as multiplication problem as an example of
multiplication problem as an example of
multiplication problem as an example of NP problems consider travelling salesman
NP problems consider travelling salesman
NP problems consider travelling salesman problem travelling salesman problem ask
problem travelling salesman problem ask
problem travelling salesman problem ask in a given number of cities what is the
in a given number of cities what is the
in a given number of cities what is the shortest possible path that with it
shortest possible path that with it
shortest possible path that with it every cities and comes back to the
every cities and comes back to the
every cities and comes back to the original city the problem statement
original city the problem statement
original city the problem statement sounds easy but as a number of cities
sounds easy but as a number of cities
sounds easy but as a number of cities increase the number of scenarios and the
increase the number of scenarios and the
increase the number of scenarios and the operation times grows exponentially
operation times grows exponentially
operation times grows exponentially therefore solution will be impossible to
therefore solution will be impossible to
therefore solution will be impossible to be fine in a logical time even by
be fine in a logical time even by
be fine in a logical time even by current supercomputers I’m not a
current supercomputers I’m not a
current supercomputers I’m not a travelling cells woman and I’m not a
travelling cells woman and I’m not a
travelling cells woman and I’m not a mathematician but I saw this problem
mathematician but I saw this problem
mathematician but I saw this problem somewhere else in differentiating
somewhere else in differentiating
somewhere else in differentiating pathways of stem cells during the early
pathways of stem cells during the early
pathways of stem cells during the early stage of embryonic development
stage of embryonic development
stage of embryonic development differentiating a stem cells are able to
differentiating a stem cells are able to
differentiating a stem cells are able to make thousands of decision by finding
make thousands of decision by finding
make thousands of decision by finding the optimal combination of gene
the optimal combination of gene
the optimal combination of gene regulatory factors toward different
regulatory factors toward different
regulatory factors toward different destinations for example different types
destinations for example different types
destinations for example different types of tissues and cells in our body and
of tissues and cells in our body and
of tissues and cells in our body and they are able to make thousands of
they are able to make thousands of
they are able to make thousands of decision by by solving NP problems in a
decision by by solving NP problems in a
decision by by solving NP problems in a network as large as the entire of their
network as large as the entire of their
network as large as the entire of their genome now the question is that how as
genome now the question is that how as
genome now the question is that how as themselves are able to make thousands of
themselves are able to make thousands of
themselves are able to make thousands of decisions in a highly efficient way
decisions in a highly efficient way
decisions in a highly efficient way while still we have several problems in
while still we have several problems in
while still we have several problems in solving similar NP problems applying our
solving similar NP problems applying our
solving similar NP problems applying our supercomputers this question engage my
supercomputers this question engage my
supercomputers this question engage my mind for a long time since I was a PhD
mind for a long time since I was a PhD
mind for a long time since I was a PhD student I was trying to find an
student I was trying to find an
student I was trying to find an algorithm in computer science that could
algorithm in computer science that could
algorithm in computer science that could be matched with the decision-making
be matched with the decision-making
be matched with the decision-making capacities of a stem cells and later I
capacities of a stem cells and later I
capacities of a stem cells and later I was trying to understand the mechanisms
was trying to understand the mechanisms
was trying to understand the mechanisms of coding and computing
of coding and computing
of coding and computing in a stem cells by getting deep in the
in a stem cells by getting deep in the
in a stem cells by getting deep in the chemistry of cells but unfortunately
chemistry of cells but unfortunately
chemistry of cells but unfortunately after a long time research I didn’t find
after a long time research I didn’t find
after a long time research I didn’t find a solution but then later I was able to
a solution but then later I was able to
a solution but then later I was able to connect the dots and find this the
connect the dots and find this the
connect the dots and find this the solution in chemistry but in a special
solution in chemistry but in a special
solution in chemistry but in a special form of chemistry that information are
form of chemistry that information are
form of chemistry that information are embedded in the molecules and in the
embedded in the molecules and in the
embedded in the molecules and in the materials so I call this platform
materials so I call this platform
materials so I call this platform cognitive chemistry cognitive chemistry
cognitive chemistry cognitive chemistry
cognitive chemistry cognitive chemistry is a chemical based coding system that
is a chemical based coding system that
is a chemical based coding system that information are embedded in the
information are embedded in the
information are embedded in the molecules and materials Nina is a simple
molecules and materials Nina is a simple
molecules and materials Nina is a simple example of for cognitive materials and
example of for cognitive materials and
example of for cognitive materials and we can apply DNA in the synthetic form
we can apply DNA in the synthetic form
we can apply DNA in the synthetic form as a matrix for information storage but
as a matrix for information storage but
as a matrix for information storage but cognitive chemistry is not limited to
cognitive chemistry is not limited to
cognitive chemistry is not limited to DNA and we can apply different forms of
DNA and we can apply different forms of
DNA and we can apply different forms of synthetic materials for information and
synthetic materials for information and
synthetic materials for information and storage in addition in a cognitive
storage in addition in a cognitive
storage in addition in a cognitive chemistry system the system has the
chemistry system the system has the
chemistry system the system has the recognition capacity over its
recognition capacity over its
recognition capacity over its environment applying its molecular
environment applying its molecular
environment applying its molecular sensors therefore by combining these two
sensors therefore by combining these two
sensors therefore by combining these two properties we understand that in
properties we understand that in
properties we understand that in cognitive chemistry the software and
cognitive chemistry the software and
cognitive chemistry the software and hardware are integrated together in
hardware are integrated together in
hardware are integrated together in addition unlike current computers that
addition unlike current computers that
addition unlike current computers that are limited to single layer of coating
are limited to single layer of coating
are limited to single layer of coating which is binary coding in cognitive
which is binary coding in cognitive
which is binary coding in cognitive chemistry we have multiple layers of
chemistry we have multiple layers of
chemistry we have multiple layers of coding for example DNA coding language
coding for example DNA coding language
coding for example DNA coding language with for coding subunits with different
with for coding subunits with different
with for coding subunits with different with four different nucleotides or
with four different nucleotides or
with four different nucleotides or protein coding language with 20
protein coding language with 20
protein coding language with 20 different coding subunits therefore by a
different coding subunits therefore by a
different coding subunits therefore by a multi-layer coding capacity of cognitive
multi-layer coding capacity of cognitive
multi-layer coding capacity of cognitive system the system will be impoverished
system the system will be impoverished
system the system will be impoverished two parallel operation which enhance the
two parallel operation which enhance the
two parallel operation which enhance the operation rate of system incredibly now
operation rate of system incredibly now
operation rate of system incredibly now the question is that can be solved NP
the question is that can be solved NP
the question is that can be solved NP problems such as Traveling Salesman
problems such as Traveling Salesman
problems such as Traveling Salesman problem applying cognitive chemistry
problem applying cognitive chemistry
problem applying cognitive chemistry algorithm let’s see as we discussed
algorithm let’s see as we discussed
algorithm let’s see as we discussed earlier we know that the main limitation
earlier we know that the main limitation
earlier we know that the main limitation in our current computers for solving NP
in our current computers for solving NP
in our current computers for solving NP problems is about the sequential
problems is about the sequential
problems is about the sequential operation the system needs to check all
operation the system needs to check all
operation the system needs to check all the possible scenarios before finding
the possible scenarios before finding
the possible scenarios before finding the optimal solution however in
the optimal solution however in
the optimal solution however in cognitive chemistry applying the
cognitive chemistry applying the
cognitive chemistry applying the parallel operation capacity of the
parallel operation capacity of the
parallel operation capacity of the system we can pass this problem in this
system we can pass this problem in this
system we can pass this problem in this limitation and the system is able to
limitation and the system is able to
limitation and the system is able to find the solution immediately in this
find the solution immediately in this
find the solution immediately in this animation we can see how a current
animation we can see how a current
animation we can see how a current complex method is trying to find the
complex method is trying to find the
complex method is trying to find the near optimal solution for travelling
near optimal solution for travelling
near optimal solution for travelling salesman problem applying a semi
salesman problem applying a semi
salesman problem applying a semi sequential method as you see here the
sequential method as you see here the
sequential method as you see here the system is trying to define the problem
system is trying to define the problem
system is trying to define the problem and then checking all the possible
and then checking all the possible
and then checking all the possible scenarios before finding the optimal
scenarios before finding the optimal
scenarios before finding the optimal solution however in cognitive chemistry
solution however in cognitive chemistry
solution however in cognitive chemistry applying the parallel operation capacity
applying the parallel operation capacity
applying the parallel operation capacity of the system the algorithm is able to
of the system the algorithm is able to
of the system the algorithm is able to check all scenarios in parallel and at
check all scenarios in parallel and at
check all scenarios in parallel and at the same time there would be no gap
the same time there would be no gap
the same time there would be no gap between the problem and the solution
between the problem and the solution
between the problem and the solution therefore cognitive chemistry algorithm
therefore cognitive chemistry algorithm
therefore cognitive chemistry algorithm has been able to move traveling salesman
has been able to move traveling salesman
has been able to move traveling salesman problem from the category of unsolvable
problem from the category of unsolvable
problem from the category of unsolvable problems into solvable problems the
problems into solvable problems the
problems into solvable problems the importance of this solution is
importance of this solution is
importance of this solution is definitely in designing of decision
definitely in designing of decision
definitely in designing of decision making algorithms in artificial
making algorithms in artificial
making algorithms in artificial intelligence but more important
intelligence but more important
intelligence but more important this solution can be applied in
this solution can be applied in
this solution can be applied in biomedical science for treatment of
biomedical science for treatment of
biomedical science for treatment of cancer by analysis of large datasets
cancer by analysis of large datasets
cancer by analysis of large datasets from cancer patients and a small
from cancer patients and a small
from cancer patients and a small targeting of cancer-related genes also
targeting of cancer-related genes also
targeting of cancer-related genes also it can be applied for treatment of
it can be applied for treatment of
it can be applied for treatment of protein misfolding diseases such as
protein misfolding diseases such as
protein misfolding diseases such as Alzheimer’s Parkinson’s and prior
Alzheimer’s Parkinson’s and prior
Alzheimer’s Parkinson’s and prior related diseases in my opinion and it
related diseases in my opinion and it
related diseases in my opinion and it disease is that coding disorder and if
disease is that coding disorder and if
disease is that coding disorder and if we know the appropriate code we can we
we know the appropriate code we can we
we know the appropriate code we can we can fix the problem during the entire of
can fix the problem during the entire of
can fix the problem during the entire of my career I was so curious about the
my career I was so curious about the
my career I was so curious about the power of life and I try to understand
power of life and I try to understand
power of life and I try to understand the connection between chemistry physics
the connection between chemistry physics
the connection between chemistry physics and mathematics in biological system and
and mathematics in biological system and
and mathematics in biological system and I believe if we delve deeper we will
I believe if we delve deeper we will
I believe if we delve deeper we will find that there is just one rule
find that there is just one rule
find that there is just one rule governing the entire of nature and
governing the entire of nature and
governing the entire of nature and universe and that’s the universal
universe and that’s the universal
universe and that’s the universal science thank you
”
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