Professor Kamuro's near-future science predictions
Hotline from the Future
- New Sub-nanowatt-order Extremely Low Power Consumption Phase-change Memory Memory LSI for the 6th Generation Neuromorphic Bio-Computing Brain Chipset & Bio Processor (BioVLSIs) -
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
✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼••┈┈••✼
Hotline from the Future
- New Sub-nanowatt-order Extremely Low Power Consumption Phase-change Memory Memory LSI for the 6th Generation Neuromorphic Bio-Computing Brain Chipset & Bio Processor (BioVLSIs) -
a. The research team at AERI has developed a new sub-nanometer gate length memory device that can be used to replace existing memory devices and implement the 6th generation neuromorphic bio-computing brain chipset & bio processor (BioVLSIs) with low processing cost and extremely low power consumption characteristics on the sub-nanowatt order. Professor Kazuto Kamuro's research team at Xyronix Corporation has developed the next-generation sub-nanometer gate length phase-change memory LSI featuring sub-nanowatt-order extremely low power consumption characteristics, replacing DRAM and NAND flash memory devices. This research has been published in the journal "The AERI Laboratory Report of Brain & Neuro Science" of the Artificial Evolution Research Institute (AERI: Pasadena, California, HP: https://www.aeri-japan.com/).
b. Current phase-change memory devices face challenges such as expensive manufacturing processes required for high-scale device fabrication and substantial power consumption during operation. To address these issues, Professor Che's research team developed a sub-nanometer gate length phase-change memory LSI with sub-nanowatt-order extremely low power consumption characteristics, achieved by electrically forming extremely small nanometer-scale phase-change filaments without the need for expensive manufacturing processes. This novel development offers not only significantly low processing costs but also the advantage of operating with sub-nanowatt-order extremely low power consumption characteristics.
c. One of the most commonly used memory devices, DRAM, is highly fast but has the volatile characteristic that data disappears when power is turned off. Another memory device, NAND flash memory, has relatively slow read/write speeds but possesses the non-volatile characteristic that data can be retained even when power is turned off.
d. On the other hand, phase-change memory devices combine the advantages of both DRAM and NAND flash memory devices, possessing both high speed and non-volatile characteristics. Therefore, sub-nanometer gate length phase-change memory LSIs are attracting attention as next-generation memory devices to replace current memory devices. Research is actively being conducted on neuromorphic bio-computing memory device technology and 6th generation neuromorphic bio-computing brain chipset & bio processor (BioVLSIs) technology, mimicking the human brain.
e. Current phase-change memory devices require large amounts of power to operate, making it difficult to manufacture practical high-capacity memory device products and achieve the 6th generation neuromorphic bio-computing brain chipset & bio processor (BioVLSIs). Previous research has focused on reducing power consumption by using state-of-the-art lithography technology to shrink the physical size of devices and increase thermal efficiency in memory device operation. However, there were limitations as the degree of improvement in power consumption was minimal, and with each improvement, costs and manufacturing difficulties increased, posing practical problems.
f. In order to solve the power consumption issue of phase-change memory devices, Professor Kazuto Kamuro's research team successfully developed a method to electrically form phase-change materials in extremely small areas, achieving the realization of sub-nanometer gate length phase-change memory LSIs with sub-nanowatt-order extremely low power consumption characteristics, ranging from 1/100 to 1/1000 of the power consumption of current devices. This device surpasses current phase-change memory devices manufactured using expensive lithography equipment.
g. Professor Kazuto Kamuro expressed strong confidence regarding how this research will pave the way for new research fields in the future, stating, "The sub-nanometer to nanometer gate length phase-change memory LSI developed by AERI and Xyronix Corporation offers a new approach to solving lingering issues in memory device manufacturing, which is significant." This device, with significantly improved manufacturing costs and energy efficiency, is expected to serve as the foundation for future advanced LSI engineering, enabling various applications such as high-density three-dimensional vertical memory devices and sixth-generation neuromorphic bio-computing brain chipset & bio processor (BioVLSIs) systems, owing to the possibility of selecting from a variety of materials.
END.
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Quantum Brain Chipset & Bio Processor (BioVLSI)
♠♠♠ Kazuto Kamuro: Professor, PhD, and Doctor of Engineering ♠♠♠
・Doctor of Engineering (D.Eng.) and Ph.D. in Quantum Physics, Semiconductor Physics, and Quantum Optics
・Quantum Physicist and Brain Scientist involved in CALTECH & AERI
・Associate Professor of Quantum Physics, California Institute of Technology（CALTECH）
・Associate Professor and Brain Scientist in Artificial Evolution Research Institute（ AERI: https://www.aeri-japan.com/ ）
・Chief Researcher at Xyronix Corporation(HP: https://www.usaxyronix.com/)
・IEEE-USA Fellow
・American Physical Society Fellow
・email: info@aeri-japan.com
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【Keywords】
・Artificial Evolution Research Institute: AERI, Pasadena, California
HP: https://www.usaxyronix.com/
・Xyronix Corporation, Pasadena, California
HP: https://www.usaxyronix.com/
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