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Intelligent Machine On Cognitive
Methodological Development
By
Naga Balaji T G
SETHU INSTITUTE OF TECHNOLOGY
Contents
• Introduction.
• Problems in Current AI.
• Solution & Requirement.
• Mind Uploading.
• Developmental Phases.
• Applications & Cons.
• Conclusion.
Introduction
Intelligent Machine:
• AI is a computer that perform activities by utilizing its own
Intelligence.
• Capable of machine learning, planning and natural
language processing, pattern recognition.
Cognition:
• Acquiring knowledge through experience and understanding.
Problems with Current AI
Domain Specific:
• Current AI is a Narrow AI.
• IBM Watson, capable of only Natural Language Processing.
Lack Innovativeness:
• They can't think of ideas.
• It can’t turn canvas into a beautiful master piece.
No Self awareness:
• No idea what it is capable of and have no consciousness.
• When an AI is doing a process, it have no idea what it is working with.
Solution & Requirements
Human Brain and Solution:
– Giga Bytes of experience present in human memory gives rise AI to Human
Level Intelligence.
Requirements:
– Quantum Processors- For computational Speed-up.
– Artificial Neural Network(ANN)- Forms the structure of the brain.
– Emulated Human Brain(SIM) - Electronic Brain with Functionality of brain.
– Nano-bots – Robots in Nano-scale, used to scan the brain.
Mind Uploading
• Mind Uploading is nothing but a process of copying human
brain.
• The brain memory is copied to computer or storage devices.
• The mind uploading consist of two phases.
●
Phase 1:
 Emulating the Human nervous system.
●
Phase 2:
Uploading human brain into emulated
nervous system.
Injucting
Nano-bots
Injecting
Nano-bots
1.Injecting Nano-bots in to
Human Brain
2.Scanning the brain and
streaming the nervous system
Temporary
Storage
3.Temporary Storage Contain
Nervous system forms
Artificial Neural Network
The Artificial Neural
Network
Emulated Human Brain
4.The Neural Networks
emulated to form Emulated
Brain.
Phase-I
Human Brain Mind Uploading
1. Scanning the brain for
memories.
2. Memories(data) are
transferred to emulated
brain.
3 .Substrate independent
mind(SIM) or Virtual or
Digital Brain Obtained.
4. Inserting SIM to a pre-
developed AI.
MemoryMemory
Emulated BrainSubstrate Independent Mind
Human Level Artificial Intelligence
Mind Uploading
Phase-II
Human Brain
5.Human Level Artificial
Intelligence Is Developed
Intelligence Improvements
• Attains Human Mental Ability.
• Innovates Ideas.
• Digital Immortality.
• Effective Decision making and machine learning.
• Have ability to visualize the scenario.
• Once Achieved, it can replicate itself to produce new AI.
Applications
Computer Industry:
• Automated System and Network management & Security.
• Find vulnerabilities and protect against Black Hat.
• Efficient Cloud & Data ware house management.
• Update & upgrade to efficient algorithm automatically.
Automation & Electronics Industry:
• Highly Advanced Robotics.
• New Nano Electronics Device and instruments.
Applications
Defense Industry:
• Replace Human soldiers and commanders.
• Automated equipment and weapons.
• Secret RAW Agent.
Medical Industry:
• 24 x 7 x 365 Machine surgery.
• Machine Care.
And more….
Conclusion
“By their very nature, heuristic shortcuts will
produce biases, and that is true for both
humans and artificial intelligence, but the
heuristics of AI are not necessarily the human
ones.”
Reference
Human Level Intelligence:
http://ai.stanford.edu/~nilsson/OnlinePubs- ils/General%20Essays/AIMag26-04-HLAL.html
Human-level artificial general intelligence and the possibility of a technological singularity by
Ben Goertzel.
Artificial Brain:
http://www.artificialbrains.com/blue-brain-project
Computer Brain Simulation by Rodney M. Correll
And more!
 
Thanks for your patience
Queries??
Contact:
91-9629131249
nagabalajitg@gmail.com

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Intelligent Machine On Cognitive Methodological Development

  • 1. Intelligent Machine On Cognitive Methodological Development By Naga Balaji T G SETHU INSTITUTE OF TECHNOLOGY
  • 2. Contents • Introduction. • Problems in Current AI. • Solution & Requirement. • Mind Uploading. • Developmental Phases. • Applications & Cons. • Conclusion.
  • 3. Introduction Intelligent Machine: • AI is a computer that perform activities by utilizing its own Intelligence. • Capable of machine learning, planning and natural language processing, pattern recognition. Cognition: • Acquiring knowledge through experience and understanding.
  • 4. Problems with Current AI Domain Specific: • Current AI is a Narrow AI. • IBM Watson, capable of only Natural Language Processing. Lack Innovativeness: • They can't think of ideas. • It can’t turn canvas into a beautiful master piece. No Self awareness: • No idea what it is capable of and have no consciousness. • When an AI is doing a process, it have no idea what it is working with.
  • 5. Solution & Requirements Human Brain and Solution: – Giga Bytes of experience present in human memory gives rise AI to Human Level Intelligence. Requirements: – Quantum Processors- For computational Speed-up. – Artificial Neural Network(ANN)- Forms the structure of the brain. – Emulated Human Brain(SIM) - Electronic Brain with Functionality of brain. – Nano-bots – Robots in Nano-scale, used to scan the brain.
  • 6. Mind Uploading • Mind Uploading is nothing but a process of copying human brain. • The brain memory is copied to computer or storage devices. • The mind uploading consist of two phases. ● Phase 1:  Emulating the Human nervous system. ● Phase 2: Uploading human brain into emulated nervous system.
  • 7. Injucting Nano-bots Injecting Nano-bots 1.Injecting Nano-bots in to Human Brain 2.Scanning the brain and streaming the nervous system Temporary Storage 3.Temporary Storage Contain Nervous system forms Artificial Neural Network The Artificial Neural Network Emulated Human Brain 4.The Neural Networks emulated to form Emulated Brain. Phase-I Human Brain Mind Uploading
  • 8. 1. Scanning the brain for memories. 2. Memories(data) are transferred to emulated brain. 3 .Substrate independent mind(SIM) or Virtual or Digital Brain Obtained. 4. Inserting SIM to a pre- developed AI. MemoryMemory Emulated BrainSubstrate Independent Mind Human Level Artificial Intelligence Mind Uploading Phase-II Human Brain 5.Human Level Artificial Intelligence Is Developed
  • 9. Intelligence Improvements • Attains Human Mental Ability. • Innovates Ideas. • Digital Immortality. • Effective Decision making and machine learning. • Have ability to visualize the scenario. • Once Achieved, it can replicate itself to produce new AI.
  • 10. Applications Computer Industry: • Automated System and Network management & Security. • Find vulnerabilities and protect against Black Hat. • Efficient Cloud & Data ware house management. • Update & upgrade to efficient algorithm automatically. Automation & Electronics Industry: • Highly Advanced Robotics. • New Nano Electronics Device and instruments.
  • 11. Applications Defense Industry: • Replace Human soldiers and commanders. • Automated equipment and weapons. • Secret RAW Agent. Medical Industry: • 24 x 7 x 365 Machine surgery. • Machine Care. And more….
  • 12. Conclusion “By their very nature, heuristic shortcuts will produce biases, and that is true for both humans and artificial intelligence, but the heuristics of AI are not necessarily the human ones.”
  • 13. Reference Human Level Intelligence: http://ai.stanford.edu/~nilsson/OnlinePubs- ils/General%20Essays/AIMag26-04-HLAL.html Human-level artificial general intelligence and the possibility of a technological singularity by Ben Goertzel. Artificial Brain: http://www.artificialbrains.com/blue-brain-project Computer Brain Simulation by Rodney M. Correll And more!  
  • 14. Thanks for your patience Queries?? Contact: 91-9629131249 nagabalajitg@gmail.com

Editor's Notes

  1. This paper describes about AI creation but in Cognitive way rather than normal. Only by this way the Artificial Intelligence can be achieved, so with this slide I am here deliver you my idea of Artificial Intelligence and its usage. <number>
  2. <number>
  3. When we think of robots, we get motion pictures like Terminators and Endhiran Rajini in out mind, of course they are the intelligence system and they are Complete AI which we have seen in the Sci-Fic movie. They have ability to do things by their own Intelligence and they have properties such machine learning, planning, logical reasoning and machine language processing. <number>
  4. We have AI like IBM Watson and Eugene Gootsman which says that we are at the developmental level of AI, coz they are domain specific, they don’t innovate idea, they no self-awareness and capability to think. <number>
  5. <number>
  6. <number>