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Dr. Len Mei
2024/4/2
Intelligence is the capability of
reasoning, creation, thinking, learning,
analysis, deciphering, prediction,
perception, problem solving,
memorizing, deduction, communicating
and many other.
Human possess the highest intelligence
among living beings.
Artificial intelligence is the intelligence
created by human.
The AI possessing all qualities of human
intelligence is called the Artificial
General Intelligence (AGI).
The AI possessing some but not all
qualities of human intelligence is called
Artificial Narrow Intelligence (ANI).
world
Digital data
AI models AI
Hardware and software
 AI needs data.
 Today, data for AI are all digital.
 Digital data are generated by:
digital processes such as audio/video streaming,
online shopping/payment,and banking, on-line
meeting, use of internet, social media,messages and
emails,etc.,
using equipment, such as computer, cell phone,
camera,etc
 This process is called digital transformation-
integrating digital technologies into
everything.
40 ZB
1 ZB = 1021 Byte
2025 => 200 ZB
AI models
(algorithm)
(ML,DL)
data response
 Two types of AI models:
 Symbolic: without neural network,–
decision trees,random forecast,support
vector machines etc.
 Neural : with neural network,transformer
Hardware
Synapses –
Send outputs
Dendrites -
Receive inputs
from input layer
Output
Input
Artificial neural network
Human neural network
86 billion neurons
layer
10 million neurons
The ANN consists of connected nodes
called neurons.
Each node has inputs and outputs.
Nodes are organized in layers - input
layers, hidden layers and output layers.
When there are many layers, it is called
deep learning.
The most advanced ANN has 100 layers.
 https://www.science.org/doi/10.1126/sciadv.ab
g8836
5 nm
Biological neuron Semiconductor neuron
AI Brain
Neurons 107 1011
2024
https://ai.stackexchange.com/questions/2330/when
-will-the-number-of-neurons-in-ai-systems-equal-
the-human-brain
AI
Progress of AI
https://dmitry.ai/t/topic/206
Progress of digital transformation is
made possible by semiconductor
technology.
1970 5µm 1,000 transistors/chip
2024 5nm 60 billion transistors/chip
 Semiconductor technology is reaching its limit.
 New technologies to bridge the gap:
Quantum computer
DNA computing
 DNA computing has the potential to grow AI to exceed
human intelligence
 Quantum computing and AI are both transformational
technologies and artificial intelligence needs quantum computing
to achieve significant progress.
 https://www.bbvaopenmind.com/en/technology/digital-
world/quantum-computing-and-ai/
Quantum computer race
Amazon
DNA computing uses
DNA,
biochemistry, and
biological molecules
It uses necleobase code
(ATCG) instead of binary
code (0,1)
01 ATCG
 Binary code (0,1), 1 Byte= 28 or
256.
 Nucleobase code (A,T,C,G).
Every base has 4 bits
(AT,TA,CG,GC).
 Therefore,4 bases = 256
combinations or 1 Byte.
T A
G C
2 nm
A T
https://bpb-ca-
c1.wpmucdn.com/myrivers
ide.sd43.bc.ca/dist/a/1967/
files/2019/02/Untitled-
picture-rp7t4z-768x852.jpg
Make DNA logic gates by using an
enzyme.
Assemble digital circuits such as an ALU.
https://www.nature.com/a
rticles/s41467-019-13310-
2#Fig1
In 2019, computer scientists at the
University of California at Davis and
Caltech have synthesized DNA molecules
that can self-assemble into structures by
essentially running their own program
using six-bit inputs.
Microsoft has a programming
language for DNA computing.
DNA digital data storage is a
synthesized strands of DNA to store
digital data.
In June 2019, 16 GB of text
from Wikipedia's English-language
version had been encoded into synthetic
DNA.
In 2021, a DNA data writer had been
developed that was capable of writing
data into DNA at 18 Mbps.
 High density storage
 Easy to produce synthetic DNA – self-
replicating
 It is possible to store the content of entire brain
in a comparable size DNA media
 Build DNA computer by synthesizing DNA helix
 Use nature DNA structures such as brains. This
approach has the advantage of acquiring all
human intelligence not attainable by other
means, such as creativity, emotion, conscience,
etc.
Brain-computer interface (BCI) is a
device that translates neuronal
information into digital commands.
Content of a brain can be copied to
computer storage, and it can be copied
to another brain.
Miguel Nicolelis,a reknown
Brazilian scientist in Duke
University in BCI research (Ph.D.
USP 1989)
On August 3, 2010, Nicolelis was
awarded an NIH (National Insitute of
Health) Director's Pioneer Award for
his research on BCI technology.
On January 5, 2011, Dr. Nicolelis was
appointed by Pope Benedict XVI as a
member of the Pontifical Academy of
Sciences
In 2013, Nicolelis reported the brain to
brain communication between two rats
using BCI.This result demonstrates the
feasibility of a biological
computer consisting of a network of
animal, or human brains.
https://pt.wikipedia.org/wiki/Miguel_Nicolelis
The 2045 Movement -
 Elon Musk created a new company Neurlink
Implant allows mobility
and data update in real
time.
 A digital twin is a digital representation of
an intended or actual real-world physical
object.
 A cyber-physical system (CPS) is a
intertwined system of physical object and
its digital twin.
With deep fake,you
cannot believe anything
you see or hear.
There are some technologies that allow
people to have a virtual conversation
with a deceased loved one.
AI IQ in verbal
2016 – 47.28
2023 – 155 verbal
2016
When AI exceeds human intelligence,
there will be post human – the integrated
human and AI.
Post-human is human beings enhanced
by AI.
Post-human species will have the
capability to colonize and migrate to
other planets beyond the solar system.
It is a big step for human but a small step
for evolution in the universe.
By 2056, AI neurons will exceed human
brain neurons.
When AI exceeds human intelligence, the
event is called Singularity.
After singularity, human may lose control
of AI.
It is possible that singularity will occur in
the second half of this century.
2024
AI
Progress of AI
singularity
Quantum AI /DNA AI takes
over
Post human
Dinosaur appeared 233 millions years
ago, and became extinct 64 millions
years ago. It existed for 167 millions
years.
Human appeared 300,000 years ago,
coexisted with Neanderthal, which was
extinction 40,000 years ago.
Human has 2% Neanderthal genes.
Post human will have human genes and
artificial genes. It is the next step of
evolution.
Artificial inteligence, its evolution and potential singularity event
Artificial inteligence, its evolution and potential singularity event

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Artificial inteligence, its evolution and potential singularity event

  • 2. Intelligence is the capability of reasoning, creation, thinking, learning, analysis, deciphering, prediction, perception, problem solving, memorizing, deduction, communicating and many other. Human possess the highest intelligence among living beings.
  • 3. Artificial intelligence is the intelligence created by human. The AI possessing all qualities of human intelligence is called the Artificial General Intelligence (AGI). The AI possessing some but not all qualities of human intelligence is called Artificial Narrow Intelligence (ANI).
  • 4. world Digital data AI models AI Hardware and software
  • 5.  AI needs data.  Today, data for AI are all digital.  Digital data are generated by: digital processes such as audio/video streaming, online shopping/payment,and banking, on-line meeting, use of internet, social media,messages and emails,etc., using equipment, such as computer, cell phone, camera,etc  This process is called digital transformation- integrating digital technologies into everything.
  • 6. 40 ZB 1 ZB = 1021 Byte 2025 => 200 ZB
  • 7.
  • 8. AI models (algorithm) (ML,DL) data response  Two types of AI models:  Symbolic: without neural network,– decision trees,random forecast,support vector machines etc.  Neural : with neural network,transformer Hardware
  • 9. Synapses – Send outputs Dendrites - Receive inputs from input layer Output Input
  • 10. Artificial neural network Human neural network 86 billion neurons layer 10 million neurons
  • 11. The ANN consists of connected nodes called neurons. Each node has inputs and outputs. Nodes are organized in layers - input layers, hidden layers and output layers. When there are many layers, it is called deep learning. The most advanced ANN has 100 layers.
  • 13.
  • 16. Progress of digital transformation is made possible by semiconductor technology. 1970 5µm 1,000 transistors/chip 2024 5nm 60 billion transistors/chip
  • 17.  Semiconductor technology is reaching its limit.  New technologies to bridge the gap: Quantum computer DNA computing  DNA computing has the potential to grow AI to exceed human intelligence
  • 18.
  • 19.  Quantum computing and AI are both transformational technologies and artificial intelligence needs quantum computing to achieve significant progress.  https://www.bbvaopenmind.com/en/technology/digital- world/quantum-computing-and-ai/ Quantum computer race
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27. DNA computing uses DNA, biochemistry, and biological molecules It uses necleobase code (ATCG) instead of binary code (0,1)
  • 28.
  • 30.  Binary code (0,1), 1 Byte= 28 or 256.  Nucleobase code (A,T,C,G). Every base has 4 bits (AT,TA,CG,GC).  Therefore,4 bases = 256 combinations or 1 Byte. T A G C 2 nm A T
  • 32. Make DNA logic gates by using an enzyme. Assemble digital circuits such as an ALU.
  • 34. In 2019, computer scientists at the University of California at Davis and Caltech have synthesized DNA molecules that can self-assemble into structures by essentially running their own program using six-bit inputs. Microsoft has a programming language for DNA computing.
  • 35.
  • 36.
  • 37. DNA digital data storage is a synthesized strands of DNA to store digital data. In June 2019, 16 GB of text from Wikipedia's English-language version had been encoded into synthetic DNA. In 2021, a DNA data writer had been developed that was capable of writing data into DNA at 18 Mbps.
  • 38.
  • 39.  High density storage  Easy to produce synthetic DNA – self- replicating  It is possible to store the content of entire brain in a comparable size DNA media
  • 40.  Build DNA computer by synthesizing DNA helix  Use nature DNA structures such as brains. This approach has the advantage of acquiring all human intelligence not attainable by other means, such as creativity, emotion, conscience, etc.
  • 41. Brain-computer interface (BCI) is a device that translates neuronal information into digital commands. Content of a brain can be copied to computer storage, and it can be copied to another brain.
  • 42. Miguel Nicolelis,a reknown Brazilian scientist in Duke University in BCI research (Ph.D. USP 1989) On August 3, 2010, Nicolelis was awarded an NIH (National Insitute of Health) Director's Pioneer Award for his research on BCI technology. On January 5, 2011, Dr. Nicolelis was appointed by Pope Benedict XVI as a member of the Pontifical Academy of Sciences
  • 43. In 2013, Nicolelis reported the brain to brain communication between two rats using BCI.This result demonstrates the feasibility of a biological computer consisting of a network of animal, or human brains. https://pt.wikipedia.org/wiki/Miguel_Nicolelis
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  • 45.
  • 47.  Elon Musk created a new company Neurlink
  • 48. Implant allows mobility and data update in real time.
  • 49.
  • 50.  A digital twin is a digital representation of an intended or actual real-world physical object.  A cyber-physical system (CPS) is a intertwined system of physical object and its digital twin.
  • 51.
  • 52. With deep fake,you cannot believe anything you see or hear.
  • 53. There are some technologies that allow people to have a virtual conversation with a deceased loved one.
  • 54. AI IQ in verbal 2016 – 47.28 2023 – 155 verbal 2016
  • 55. When AI exceeds human intelligence, there will be post human – the integrated human and AI. Post-human is human beings enhanced by AI. Post-human species will have the capability to colonize and migrate to other planets beyond the solar system. It is a big step for human but a small step for evolution in the universe.
  • 56. By 2056, AI neurons will exceed human brain neurons. When AI exceeds human intelligence, the event is called Singularity. After singularity, human may lose control of AI. It is possible that singularity will occur in the second half of this century.
  • 57. 2024 AI Progress of AI singularity Quantum AI /DNA AI takes over Post human
  • 58. Dinosaur appeared 233 millions years ago, and became extinct 64 millions years ago. It existed for 167 millions years. Human appeared 300,000 years ago, coexisted with Neanderthal, which was extinction 40,000 years ago. Human has 2% Neanderthal genes. Post human will have human genes and artificial genes. It is the next step of evolution.