Intelligent Machine On Cognitive Methodoligical Development

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.

IntroductionIntelligent 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 AIDomain 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 & RequirementsHuman 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-botsInjecting

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 NetworkEmulated 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.

Memory Memory

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.

ApplicationsComputer 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.

ApplicationsDefense 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.”

ReferenceHuman 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

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