Yu Murakami | New York General Gro

Yu Murakami, Our Founder & CEO

Yu Murakami founded New York General Group, Inc. and Massachusetts Institute of Mathematics, where he leads business and scientific research.

He became fascinated with the world of computers at the age of 7, and has been self-taught in computer science, mathematics, and physics for over 17 years. Among them, his areas of interest include His areas of interest include artificial intelligence (Transformer, S4 (Structured State Space for Sequence Modeling), PINN (Physics-Informed Neural Networks), Point-Voxel CNN (Point-Voxel Convolutional Neural Network), whole-brain emulation), category theory (Kan extension, Yoneda's lemma), number theory (prime ideals and Grothendieck's number theory geometry), particle theory (Calabi-Yau manifolds, extra dimensions), quantum theory (Heisenberg's equations of motion), relativity theory (Einstein equation, Anti-de Sitter space, anti-de Sitter/conformal field theory correspondence), and he is still working on making artificial intelligence (artificial general intelligence) learn "operating systems of the universe" such as category theory, number theory, particle theory, quantum theory, and relativity. He admires Nikola Tesla, the great inventor, and has named those sciences and technologies collectively as the "World System."

He began his career at PricewaterhouseCoopers (PwC), one of the world's largest professional services firms, after graduating from Keio University. During his college years, he also participated in an internship with Bain & Company, one of the world's leading management strategy consulting firms. While he was at PwC, he has created "World System on the basis of Bidirectional Encoder Representation(BERT), Categorical Network(CN), and Point-Voxel Convolutional Neural Network(Point-Voxel CNN) and founded the conglomerate New York General Group, Inc. and the Massachusetts Institute of Mathematics, a scientific research institute, in the United States. Later, with the backing of the partner of PwC, he started his own business in earnest.

New York General Group, Inc. and the Massachusetts Institute of Mathematics have now merged, with the former owning 100% of the latter. New York General Group, Inc. has grown into a hectocorn company with an enterprise value of over $100 billion in less than three years.　The root of our corporate value is the "World System on the basis of Bidirectional Encoder Representations from Transformers(BERT), Categorical Network(CN) and Point-Voxel Convolutional Neural Network(Point-Voxel CNN)" invented by Yu Murakami. The quantitative evaluation is based on the calculation of artificial intelligence (passed the US Bar exam and US CPA exam) of a third-party research institute, and the qualitative evaluation is based on the calculation of 7 experts which have Ph. D. in mathematics or computer science. The evaluation report has also been submitted to the U.S. regulatory authority for review and approval. (SR 20232834790 - File Number 5834246)

New York General Group, Inc. is registered in Japan (company number 4800-03-001744, capital amount US$10 million) and is currently headed by Yu Murakami.

His invention of RAI (Relativistic Artificial Intelligence) has achieved higher scores than LLMs such as GPT-3 and GLaM in sentiment analysis and few-shot learning (Yu Murakami. "A Relativistic Approach to Artificial Intelligence: Bridging the Gap Between Spacetime and Neural Networks". Massachusetts Institute of Mathematics. 2023.), QuantumBERT based on the Schrödinger equation exceeds GPT-3 in Accuracy - F1 Score - BLEU (Yu Murakami. "Whole-Brain Emulation through the Lens of the Schrödinger Equation". Massachusetts Institute of Mathematics. 2023.) or CTIS (Category Theory Informed Superintelligence) outperforms state-of-the-art LLMs such as GPT-4 and Mistral in multiple metrics (Technical Report) or solves the Einstein equation and outputs a 40+ page blueprint of a time machine by simply typing "Invent a time machine."(Time Machine Invention) Currently, he is engaged in a variety of practical efforts, including the development of a self-correcting algorithm for Transformer that combines attention mechanism and pruning, the development of macro- and microeconomic parameterization techniques based on integral equations using machine learning for measuring corporate value in investment banking, and basic scientific efforts, including research on quantum error correction using Transformer for whole-brain emulation on a quantum computer and research on YuM-Theory, which assumes that elementary particles are three-dimensional voxels.

He is an inventor and an Accredited Investor with the Securities and Exchange Commission (SEC) and the Canadian Securities Administrators (CSA), and has a background not only in technology but also in business and finance. His company, New York General Group, Inc. is one of the world's largest asset (mainly IP) management institution with a net worth of more than $500 billion (SR 20232834790 - File Number 5834246), and is also engaged in investment banking and private equity fund management.

He also currently serves as CTO (Chief Technology Officer) and technical advisor for one U.S. company and five Japanese companies.

Paper List

・Yu Murakami. "A Categorical Framework: Bridging Number Theory, Geometry, and Analytic Number Theory".Massachusetts Institute of Mathematics. 2023.

・Yu Murakami. "Categorical Prime Ideal". Massachusetts Institute of Mathematics. 2023(Submitted to American Mathematics Society).

・Yu Murakami "YuM-Theory: Hypothesis that elementary particles are 3-dimensional voxels". Massachusetts Institute of Mathematics. 2023.

・Yu Murakami. "String Computer". Massachusetts Institute of Mathematics. 2023.(Submitted to Physical Review Letters)

・Yu Murakami. "Unifying Individual Machine Learning Models through Group Theory". Massachusetts Institute of Mathematics. 2023.

・Yu Murakami. "Unification of Individual Quantum Machine Learning Models: A Schrödinger Perspective". 2023.

・Yu Murakami. "A Relativistic Approach to Artificial Intelligence: Bridging the Gap Between Spacetime and Neural Networks". Massachusetts Institute of Mathematics. 2023.(Submitted to Physical Review Letters)

・Yu Murakami, "Quantum Error Correction with ML". Massachusetts Institute of Mathematics. 2023.

・Yu Murakami. "Whole-Brain Emulation through the Lens of the Schrödinger Equation". Massachusetts Institute of Mathematics. 2023.

・Yu Murakami. "Advancements in Algebraic K-Theory and Arithmetic Geometry An exploration through the lens of Number Theory". Massachusetts Institute of Mathematics. 2023.