人工進化研究所（AERI）
- Apr 8
- 6 min read

ChatGPT-Driven Brain Biocomputer: Pioneering Next-Gen Consciousness-Infused AI Chipset Design- Design of an Intelligent Processor Chipset for a Brain-Embedded Consciousness-Driven Cognitive Biocompu

Professor Kamuro's near-future science predictions

ChatGPT-Driven Brain Biocomputer: Pioneering Next-Gen Consciousness-Infused AI Chipset Design

- Design of an Intelligent Processor Chipset for a Brain-Embedded Consciousness-Driven Cognitive Biocomputer Incorporating ChatGPT -

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

✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼

ChatGPT-Driven Brain Biocomputer: Pioneering Next-Gen Consciousness-Infused AI Chipset Design

- Design of an Intelligent Processor Chipset for a Brain-Embedded Consciousness-Driven Cognitive Biocomputer Incorporating ChatGPT -

a. A development team consisting of neuroscientists from the Artificial Evolution Research Institute (AERI: Pasadena, California, HP: https://www.aeri-japan.com/) and computer scientists from Xyronix Corporation (Pasadena, California, HP: https://www.usaxyronix.com/), along with biosemiconductor and LSI researchers, is pioneering a new approach to prototype an Intelligent Processor Chipset for a Brain-Embedded Consciousness-Driven Cognitive Biocomputer incorporating ChatGPT, a neuromorphic accelerator aimed at enhancing energy-efficient real-time machine intelligence for next-generation embodied systems such as autonomous vehicles and robots.

b. ChatGPT, developed by OpenAI, is a type of natural language processing model and part of the GPT (Generative Pre-trained Transformer) technology. Its purpose is to generate responses in natural language understanding and generation tasks at a level close to humans, trained on large text datasets. ChatGPT is specialized in dialogue tasks such as conversation and question answering, generating appropriate responses based on user input, and mimicking natural conversations. This model is trained on pre-existing data to acquire the ability to understand various language patterns and contexts. ChatGPT finds applications in various fields such as chatbots, virtual assistants, and customer support systems, with considerations for education, healthcare, and entertainment.

c. AERI and Xyronix have created detailed instructions towards constructing a Brain-Embedded Consciousness-Driven Cognitive Biocomputer Intelligent Processor Chipset incorporating ChatGPT, mimicking brain-like behavior using spike ChatGPT with the help of natural language prompts. Through gradual prompts to ChatGPT, the chipset can mimic a single biological neuron and further establish a logical configuration forming neural-link style networks, thus establishing a complete biochip design method manufacturable through semiconductor design and manufacturing processes. In other words, this chipset can be considered as a cutting-edge artificial brain chip designed using natural language processing.

d. The final network architecture embedded within the artificial brain chip consists of a small silicon brain with interconnected two layers of neurons. Using a 2048-bit addressable weight system, the strength of these connections can be adjusted, allowing the artificial brain chip to configure the functions and operations by learning weights. Reconstruction and programmability are facilitated through a standard peripheral interface (SPI) subsystem, designed using natural language prompts by ChatGPT.

e. In the creation of the artificial brain chip, a simple neural network chip design is pursued, avoiding complex coding. Before sending the chipset to the manufacturing process, extensive software simulations are conducted to verify logic, ensuring that the final design operates as intended and allowing for iterative design to address issues. After validation of the final design, manufacturing processes such as 65 nanometers, 90 nanometers, up to 130 nanometers CMOS processes are utilized.

f. While the incorporation of ChatGPT into the Brain-Embedded Consciousness-Driven Cognitive Biocomputer Intelligent Processor Chipset represents a small step towards large-scale automated practical hardware AI systems, it demonstrates the potential to create advanced AI hardware systems using AI, thereby accelerating the development and deployment of AI technology.

g. Over the past 20 years, the semiconductor industry has made significant progress by reducing the feature size of physical structures on computer chips, enabling more complex designs in the same silicon area. Advanced computer chips like the ChatGPT-embedded Brain-Embedded Consciousness-Driven Cognitive Biocomputer Intelligent Processor Chipset support the creation of more sophisticated computing hardware, thus bringing about an exponential increase in computing capabilities that drive today's AI revolution.

END.

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Quantum Brain Chipset & Bio Processor (BioVLSI)