[SGPF Talk #1, Aug. 20, 2022] Introductions – Metacomputing, Quantum Computing, Metaverses’ Sustainability Innovation; Necessary Elements

The main contents of this posting
addressed in the Seoul Branch Meeting (Aug. 20, 2022),
Socienty of Global Ph.D. Fellows (SGPF)
(Presented by Dr. Seongsoo Choi, Chairman of Metacomputing Inc.)

[Contents to be addresed]
1. Metacomputing
2. Quantum Computing
3. Metaverses’ Sustainability Innovation

1. Metacomputing

(From Wikipedia) Metacomputing is all computing and computing-oriented activity which involves computing knowledge (science and technology) utilized for the research, development and application of different types of computing. It may also deal with numerous types of computing applications, such as: industry, business, management and human-related management. New emerging fields of metacomputing focus on the methodological and technological aspects of the development of large computer networks/grids, such as the Internetintranet and other territorially distributed computer networks for special purposes.

Time Line (Ref.: Meta) & Birth of Metacomputing Inc.

※ Some images referenced from Google Image Search

2. Quantum Computing

[NRF INFO, Aug. 2022]

[국가정책정보원(국가정책정보협의회, 문화체육관광부)]

[Relevant Posts]
[Supplementary Post for 2022-1] https://lnkd.in/ggensqU6
[Fields Medalist, Prof. June Huh’s Lecture for General Audience] https://lnkd.in/dcTRkJuV

For details, please refer to our in-depth policy report 2022-1 as is introduced above. 🙂

3. Metaverses’ Sustainability Innovation

[국가정책정보원(국가정책정보협의회, 문화체육관광부)]
(NRF INFO, Oct. 2022) (The relevant Webzine to be published by NRF PR Office this October.)

[Relevant Posts]
[Metaverse Alliance, MSIT] Company Introduction (Supplier)
[Fields Medalist, Prof. June Huh’s Lecture for General Audience] https://lnkd.in/dcTRkJuV
[Supplementary Post for 2022-1] https://lnkd.in/ggensqU6

“메타버스가 왜 필요한가? 꼭 필요한가?”와 같은 질문들이 현재 사회적으로 큰 화두가 되고 있습니다.

{“Why do we need a metaverse? Is it really necessary?” is a hot topic in society today.}

(주)메타컴퓨팅은 메타버스가 기존 학문 분야들에 자연스럽게 접속되는 형태의 메타버스를 정의하였습니다. 즉, 다양한 이론들과 일종의 “해석적 접속”(또는 “학문적 접속”)을 이루도록 하는 형태로(Leibniz 가능 세계론 기반), 새로운 메타버스 세계의 “설계도”를 작성, 그 “유용성(Utility)”을 정량·체계化합니다.

{Metacomputing Inc. has defined a metaverse in which the metaverse is naturally connected to existing academic fields. In other words, in the form of making a kind of “analytic continuation” (or “academic continuation”) with various theories (based on the Leibniz’s theory of possible worlds), a “blueprint” of the new metaverse world can be created, and its “utility” (actual usefulness) therefore can be quantified and systematized.}

1. 메타버스 진입 장벽 최소化 추구
자연 존속 가능한 메타버스의 제공은 정량화된 유용성(Utility)을 시장에 의해 인정받기만 하면 되는 형태가 됩니다; 자원은 시장 참여자들에 의해 제공되며, 유용성 수준이 높을 수록 시장은 메타버스 존속에 필요한 컴퓨팅 자원을 무료에 가깝게 제공하게 됩니다.

{1. Pursuit of minimizing barriers to entry into the metaverse
The provision of a naturally sustainable metaverse becomes a form that only needs to be recognized by the market for its quantified utility (actual usefulness); Resources are provided by market participants, and the higher the level of usability, the closer the market will provide the computing resources necessary for the survival of the metaverse for free (or almost free).}

2. 상기 1을 위한 슈퍼컴퓨팅 자원 소유권 탈중앙化
메타컴퓨팅은 원격 유휴 컴퓨팅 자원 기반의 슈퍼컴퓨팅 공유경제 모델을 제시합니다. 유휴 PC에 부가가치창출력을 부여합니다; 이러한 명확한 시장 참여 동기는, 소유권 탈중앙的 슈퍼컴퓨팅 자원(물리적 중앙化) 풀(Pool)을 형성합니다(비공개 특허 출원 진행 中).

{2. Decentralization of ownership of supercomputing resources for 1. above
Metacomputing presents a supercomputing sharing economy model based on remote idle computing resources (Physically centralized), enchanting additional value creation powers to idle PCs; This clear motive for market participation forms a pool of ownership decentralized supercomputing resources (physically centralized) (Private patent application in progress).}

3. 다학제적 계산과학, 슈퍼컴퓨팅 & 양자컴퓨팅[2, 3], 그리고 미래의 메타버스[1, 3]
차별的 수준의 AI는 슈퍼컴퓨팅 기술과 다학제的 계산과학 방법론들이 함께 더해져 얻어집니다. 오늘날 슈퍼컴퓨팅 기술은 양자컴퓨팅(~100 Qubits 수준, IBM)이 접목(Hybrid)된 형태로 발전합니다. 미래의 메타버스는 양자암호기술 등이 접목된 암호화 기술 고도화를 필요로 하며, 향후 등장할 양자컴퓨팅 클라우드와의 연동 경제形 메타노믹스 시대를 준비하는 자세 또한 필요합니다.

{3. Multidisciplinary computational science, supercomputing & quantum computing, and the future metaverse
Outstanding AI is obtained by adding supercomputing technology and multidisciplinary computational science methodologies together. Today’s supercomputing technology has developed in a hybrid form with quantum computing (e.g. ~100 Qubits level, IBM). The future metaverse requires the advancement of encryption technology that incorporates quantum cryptography technology, etc., and it also requires an attitude to prepare for the era of economic metanomics linked with quantum computing clouds/systems that will appear in the near future.}

Gottfried Wilhelm (vonLeibniz (1 July 1646 [O.S. 21 June] – 14 November 1716)
Fig. Ref.: https://mana.net/12861/

* 메타버스는 라이프니츠의 가능세계라고 말하여도 과언이 아님
The Leibniz’s World – not an overstatement to say! 🙂

The following is the “academic continuation of the field of metaverse”, covering all the current metaverse concepts theoretically as well as having close relations/connections with existing academic fields & theories. As is seen below, it is very well organized symetrically. The central part in the figure is the sharing economy-based supercomputing infrastucture, automatically sustaining (micro-)metaverses having their enough quantified utilities (actually useful) by market participants who are very voluntary with apparently clear motivation to participate in the market.

The big picture is related in between the Plato’s idea vs. Real Phenomena, theory vs. experiment, simulation in thoughts vs. simulation in reality by computer, and so forth.

It is possible to develop civilization through systematic use of metaverse while implementing and utilizing computational simulation as we can think & imagine. 🙂

There are infinitely many possible worlds that we can make their blueprints based on known theories!

Fig. Ref.: Did Plato know about simulation hypothesis?
Crossing a boundary – from “continuous” to “discrete”
How wide is it?
Crossing a boundary – from “discrete” to “continuous”
How many are they?
Visual Intuition
Geometry in its most primitive form
Hodge structure and crossing over boundaries
Analysis, Geometry
Fig. Ref: ‘Middle Math’ – and its various provinces, domains, and fiefdoms, drawn by Prof. Dr. Franka Miriam Brückler in “Machine Learning Needs a Langlands Programme”
Fig. Ref.: http://www.stat.ucla.edu/~ywu/mirror.pdf

For details, please refer to our in-depth policy report 2022-2 as is introduced above. 🙂