人工進化研究所（AERI）

Apr 77 min read

Are AERI Quantum Brain Chipset & Bio Processor (BioVLSI) and the AERI brain-implanted cognition and consciousness-driven type biocomputer truly capable of embodying and actualizing human consciousness

Professor Kamuro's near-future science predictions

Are AERI Quantum Brain Chipset & Bio Processor (BioVLSI) and the AERI brain-implanted cognition and consciousness-driven type biocomputer truly capable of embodying and actualizing human consciousness and cognitive functions?

Quantum Physicist and Brain Scientist

Visiting Professor of Quantum Physics,

California Institute of Technology

IEEE-USA Fellow

American Physical Society-USA Fellow

PhD. & Dr. Kazuto Kamuro

AERI：Artificial Evolution Research Institute

Pasadena, California

HP: https://www.aeri-japan.com/

and

Xyronix Corporation

Pasadena, California

HP: https://www.usaxyronix.com/

Foreword

A. Professor Kamuro's near-future science predictions, provided by CALTECH professor Kazuto Kamuro(Doctor of Engineering (D.Eng.) and Ph.D. in Quantum Physics, Semiconductor Physics, and Quantum Optics), Chief Researcher at the Artificial Evolution Research Institute (AERI, https://www.aeri-japan.com/) and Xyronix Corporation(specializing in the design of a. Neural Connection LSI, b. BCI LSI（Brain-Computer Interface LSI） (Large Scale Integrated Circuits) , and c. bio-computer semiconductor technology that directly connects bio-semiconductors, serving as neural connectors, to the brain's nerves at the nano scale, https://www.usaxyronix.com/), are based on research and development achievements in cutting-edge fields such as quantum physics, biophysics, neuroscience, artificial brain studies, intelligent biocomputing, next-generation technologies, quantum semiconductors, satellite optoelectronics, quantum optics, quantum computing science, brain computing science, nano-sized semiconductors, ultra-large-scale integration engineering, non-destructive testing, lifespan prediction engineering, ultra-short pulses, and high-power laser science.

The Artificial Evolution Research Institute (AERI) and Xyronix Corporation employ over 160 individuals with Ph.D.s in quantum brain science, quantum neurology, quantum cognitive science, molecular biology, electronic and electrical engineering, applied physics, information technology (IT), data science, communication engineering, semiconductor and materials engineering. They also have more than 190 individuals with doctoral degrees in engineering and over 230 engineers, including those specializing in software, network, and system engineering, as well as programmers, dedicated to advancing research and development.

Building on the outcomes in unexplored and extreme territories within these advanced research domains, AERI and Xyronix Corporation aim to provide opportunities for postgraduate researchers in engineering disciplines. Through achievements in areas such as the 6th generation computer, nuclear deterrence, military unmanned systems, missile defense, renewable and clean energy, climate change mitigation, environmental conservation, Green Transformation (GX), and national resilience, the primary objective is to furnish scholars with genuine opportunities for learning and discovery. The overarching goal is to transform them from 'reeds that have just begun to take a step as reeds capable of thinking' into 'reeds that think, act, and relentlessly pursue growth.' This initiative aims to impart a guiding philosophy for complete metamorphosis and to provide guidance for venturing into unexplored and extreme territories, aspiring to fulfill the role of pioneers in this new era.

B. In the cutting-edge research domain, the Artificial Evolution Research Institute (AERI) and Xyronix Corporation have made notable advancements in various fields. Some examples include:

1. AERI･HEL (Petawatt-class Ultra-High Power Terawatt-class Ultra-High Power

Femtosecond Laser)

◦ Petawatt-class ultra-high power terawatt-class ultra-short pulse laser (AERI･HEL)

2. 6th Generation Computer&Computing

◦ Consciousness-driven Bio-Computer

◦ Brain Implant Bio-Computer

3. Carbon-neutral AERI synthetic fuel chemical process

(Green Transformation (GX) technology)

◦ Production of synthetic fuel (LNG methanol) through CO₂ recovery system (DAC)

4. Green Synthetic Fuel Production Technology(Green Transformation (GX) technology)

◦ Carbon-neutral, carbon-recycling system-type AERI synthetic fuel chemical process

5. Direct Air Capture Technology (DAC)

◦ Carbon-neutral, carbon-recycling carbon dioxide circulation recovery system

6. Bio-LSI・Semiconductors

◦ Neural connection element directly connecting bio-semiconductors and brain nerves

on a nanoscale

◦ Brain LSI Chip Set, Bio-Computer LSI, BMI LSI, BCI LSI, Brain Computing LSI,

Brain Implant LSI

7. CHEGPG System (Closed Cycle Heat Exchange Power Generation System with

Thermal Regenerative Binary Engine)

◦ Power generation capability of Terawatt (TW), annual power generation of

　　　　10,000 TWh (terawatt-hour) class

◦ 1 to 0.01 yen/kWh, infinitely clean energy source, renewable energy source

8. Consciousness-Driven Generative Autonomous Robot

9. Brain Implemented Robot･Cybernetic Soldier

10. Generative Robot, Generative Android Army, Generative Android

11. High-Altitude Missile Initial Intercept System, Enemy Base Neutralization System,

　 Nuclear and Conventional Weapon Neutralization System, Next-Generation

　　Interception Laser System for ICBMs, Next-Generation Interception Laser System

　　　 for Combat Aircraft

12. Boost Phase, Mid-Course Phase, Terminal Phase Ballistic Missile Interception System

13. Volcanic Microseismic Laser Remote Sensing

14. Volcanic Eruption Prediction Technology, Eruption Precursor Detection System

15. Mega Earthquake Precursor and Prediction System

16. Laser Degradation Diagnosis, Non-Destructive Inspection System

　 17. Ultra-Low-Altitude Satellite, Ultra-High-Speed Moving Object

　　　 Non-Destructive Inspection System

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Recent advancements in artificial intelligence (AI) have spurred enthusiasm among researchers aiming to replicate the intricate functionality of the human brain in computers. Contemporary digital computing systems face challenges, particularly in energy consumption, as they grapple with high-density data tasks. Researchers are exploring novel approaches to data processing amid escalating power demands.

Existing digital computing systems, with a non-Von Neumann architecture, struggle with heightened energy consumption linked to switching. The paradigm of semiconductor integration engineering heavily relies on transistors and a consistent silicon architecture. However, this approach incurs significant energy costs, especially in the era of big data and AI tasks, stressing power infrastructures. A compelling mandate emerges to reassess non-Von Neumann-type computing hardware.

The human brain efficiently intertwines memory and information processing, inspiring the development of the Cranial Nerves Connected Synaptic Channel type MOS transistor LSI. This transistor LSI, connected to neural networks through the AERI BMI (Brain-Implanted Machine Interface) VLSI chipset, gives rise to the AERI Quantum Brain Chipset & Bio Processor (BioVLSI) and the AERI brain-implanted cognition and consciousness-driven type biocomputer. Operating at room temperature, it minimizes energy consumption and retains information even without power.

AERI's deep learning generative AI systems, powered by the Cranial Nerves Connected Synaptic Channel type MOS transistor LSI, classify data and aim for higher-order thinking. With a brain-like transistor comprising 10 billion elements, it represents a consciousness-driven bio-computer architecture intricately connected to neural networks.

Researchers introduce the AERI cranial nerves connected synaptic channel type MOS transistor LSI, emulating the capabilities of the human brain. Operating at room temperature, it showcases impressive associative learning capacity. The device operates seamlessly without cryogenic conditions, offering speed, minimal energy consumption, and information retention.

Professor Kamuro emphasizes the distinctions between the brain's architecture and traditional digital computers, underscoring the energy efficiency achieved by the AERI cranial nerves connected synaptic channel type MOS transistor.

As AI progresses, there is a demand for computers emulating human brain functionality. The AERI cranial nerves connected synaptic channel type MOS transistor addresses challenges in traditional systems, offering a leap in energy-efficient and high-performance computing for AI and machine learning.

he AERI cranial nerves connected synaptic channel type MOS transistor undergoes testing, demonstrating adeptness in recognizing patterns through associative learning. Professor Kamuro highlights its potential for higher-level thinking in AI technology, addressing real-world complexities.

In experiments, the AERI cranial nerves connected synaptic channel type MOS transistor exhibits robust performance, even with incomplete patterns, showcasing resilience in associative learning. Its potential applications include scenarios where current AI systems might falter.

The AERI cranial nerves connected synaptic channel type MOS transistor marks a breakthrough in consciousness-driven biocomputing hardware, charting the course for more energy-efficient and advanced AI technologies.

B. AERI Quantum Brain Chipset & Bio Processor (BioVLSI) and the AERI brain-implanted cognition and consciousness-driven type biocomputer stand as the world's unique embodiment and actualization of human consciousness and cognitive functions, representing the sixth generation of computers: consciousness-driven biocomputers and brain-implant biocomputers.

AERI Quantum Brain Chipset & Bio Processor (BioVLSI) serves as the core for information processing related to consciousness and cognition in the AERI brain-implanted cognition and consciousness-driven type biocomputer.

The question arises: Are AERI Quantum Brain Chipset & Bio Processor (BioVLSI) and the AERI brain-implanted cognition and consciousness-driven type biocomputer truly capable of embodying and actualizing human consciousness and cognitive functions?

AERI Quantum Brain Chipset & Bio Processor (BioVLSI) and the AERI brain-implanted cognition and consciousness-driven type biocomputer represent a groundbreaking advancement in computer engineering and neuroscience. Positioned as the sixth generation of computers, these technologies embody consciousness-driven biocomputers and brain-implant biocomputers, marking a unique manifestation of human consciousness and cognitive functions on a global scale.

In parallel with the intrigue surrounding human behavior and the challenges classical probability faces in explaining mental processes, these cutting-edge technologies explore the intricacies of quantum cognition and consciousness mechanics. Classical probability, a mathematical framework guiding common situations, struggles to encapsulate the complexity of human behavior within its traditional laws. This exploration leads us into the enigmatic realm of quantum cognition and consciousness mechanics, where probabilities follow rules vastly different from those in classical scenarios.

Over the past two decades, significant discoveries have illuminated the pivotal role of "quantumness" in human cognition – the intricate process through which the human brain acquires knowledge and understanding. These revelations also hold promise for advancements in artificial intelligence.

The AERI Quantum Brain Chipset & Bio Processor (BioVLSI) functions as the core for processing information related to consciousness and cognition within the AERI brain-implanted cognition and consciousness-driven type biocomputer.

This prompts the question: Can the AERI Quantum Brain Chipset & Bio Processor (BioVLSI) and the AERI brain-implanted cognition and consciousness-driven type biocomputer truly embody and actualize human consciousness and cognitive functions?

In classical probability, the order of questions does not impact the answers. In contrast, quantum physics introduces order dependence in answering a series of questions. For example, measuring the spin of an electron in horizontal and vertical directions produces different outcomes based on the order. This phenomenon, rooted in quantum cognition and consciousness mechanics, demonstrates that measuring a property of a quantum cognition and consciousness system can influence subsequent experiments. Order dependence is also evident in human behavior.

While everyday human behavior may seem inconsistent within classical probability theory, it aligns with the principles of quantum cognition and consciousness mechanics. Professor Kamuro acknowledges that quantum cognition and consciousness mechanics provides a more consistent explanation of human behavior.

This groundbreaking hypothesis has given rise to a new research field known as "quantum cognition" within the realm of cognitive sciences. It explores the possibility that thought processes are dictated by quantum rules, raising questions about whether our brain functions as a quantum brain computer. Although the answers remain elusive, empirical data strongly suggests that our thoughts may indeed follow the principles of quantum rules.

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Quantum Brain Chipset & Bio Processor (BioVLSI)