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Cover Your Assets: The MATRIX Digital Assets Safe
The MATRIX Digital Assets Safe is a hardware+software solution for storing cryptocurrencies safely and conveniently.
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Stop, Drop and Roll(back): The MATRIX AI Network Secure Virtual Machine
The MATRIX Secure Virtual Machine introduces innovative on-chain AI-backed security measures to protect the integrity of Intelligent Contracts.
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The MATRIX Semantic Analysis Engine: Introducing Intelligent Contracts
MATRIX auto-coding Intelligent Contracts outpace other smart contracts by supporting easy-to-use, customizable, high-level functions. This is made possible by the MATRIX Semantic Analysis Engine.
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TECHNICAL WHITE PAPER
DISCOVER MATRIX
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MATRIX leverages the latest artificial intelligence (AI) technology to deliver on the promise of blockchain. Key innovations include:
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FEATURE 01
Auto-Coding
Intelligent Contracts
MATRIX Intelligent Contracts use Natural Language Programming and adaptive deep learning-based templates to auto-code. English and Chinese currently supported. Additional languages to be added later.
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FEATURE 02
AI-Powered
Cybersecurity
AI-powered Secure Virtual Machine identifies potential loopholes and malicious intentions while ensuring robustness under high-intensity attack using a generative adversarial network. Dark Guardian uncovers malware and other illegal activities.
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FEATURE 03
Adaptive Blockchain
Parameters
Seamless integration of public and private chains with the capability for multi-chain collaboration. Support for adaptive self-optimization and the ability to tweak certain blockchain parameters without creating a hard fork. Ability to evolve alongside users. Suitable to support enterprise and government ecosystems.
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FEATURE 04
Value-Added
Green Mining
Innovative Bayesian mining mechanism uses vast computing resources to run Markov-Chain Monte Carlo (MCMC) algorithms. MCMC algorithms have valuable real-world applications. Currently being used in collaboration with Beijing Cancer Research Hospital to improve speed and accuracy of cancer diagnosis.
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FEATURE 05
Dynamic Delegation
Network
Proprietary network hierarchy created with a distributed random clustering process without centralized control enables hybrid PoS + PoW consensus mechanism – dubbed HPoW or Hyper PoW – and reduces transaction latency.
TEAM LEADERS
Professor Deng is an Associate Professor at the School of Software, Tsinghua University (清华大学软件学院), where he has served as faculty member since 2008.
Professor Deng’s research interests include machine learning, industry data analytics and computer architecture. He has authored over 50 papers. His textbook, “Structural VLSI Design and High-Level Synthesis,” is used by Tsinghua and other universities.
Professor Deng has served as Principal Investigator (PI) and Co-PI for numerous national level research projects. Since 2016, he has served as Vice Principle Architect of China Railway Rollingstock Corporation’s Prognostics Health Management for High-Speed Trains Project.
Professor Deng’s work on deep-learning based image detection was ranked #1 in many prestigious challenges including PASCAL VOC and VSCOCO; beating out teams from Google, Intel, Facebook and Microsoft. He has received numerous awards including “Best Paper” at the International Conference on Computer Design in 2013, the “NVIDIA Partnership Professor” Award and the Tsinghua University “Key Talent” Award.
Mr. Zhu has an EMBA from the University of Minnesota – Twin Cities and a master’s degree from the Beijing University of Posts and Telecommunications.
Mr. Zhu has held senior leadership positions with several multinational corporations. He served as General Manager of Greater China for Quantum and Government Affairs Representative for Dell EMC.
Mr. Zhu was formerly the Central Information Officer at Nanfang Daily and helped lead development of an earth-to-satellite communications system for the second state-sponsored moon expedition.
Dr. Li is a leading communications and IC design expert. He has been, and continues to be, a major contributor to China’s 4G, 4.5G (NB-IoT) and 5G standards.
Dr. Li was the Chief Architect of China’s first Wi-Fi transceiver IC. As a Co-Principal Investigator, Dr. Li led the design of China’s first aircraft carrier’s dispatch communication system.
Dr. Li’s work on Commutation IC Design has won numerous national awards. His book, Communication IC Design, was the best-selling textbook in its field and is currently used by many prestigious universities.
Dr. Shi is a veteran of the semiconductor industry. He was the Principal System Architect at AMD and headed corporate and university technology partnerships for AMD in the greater-China region.
Dr. Shi previously held positions at several leading international IC companies such as Synopsys and ARM. He was also the Senior Chip Design Engineer at Samsung Semiconductor Inc, a subsidiary of Samsung Electronics, Ltd. in Korea.
Mr. Tao holds a dual bachelor’s degree in Physics and Economics from Peking University. He has served as CEO of several high-tech start-ups and has abundant experience managing the development of new products and Internet technologies.
Noteworthy achievements including leading the development of a 3D virtual community as well as establishing China’s first embedded game advertising system.
Mr. Tao also led the development and operation of China’s first cross-border e-commerce platform; which acquired 20 million users worldwide.
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September 2016LaunchingThe MATRIX project is officially launched.
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January 2017AI BayesianThe first edition of the MATRIX AI Bayesian inference machine design is completed.
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May 2017AI DesignBlockchain design based on Artificaial Intelligence is completed.
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July 2017AI Inference Machine TestThe first formal test of the MATRIX AI Bayeslan interence machine is completed.
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September 2017AI ExibitionArtifcial Intelligence demonstration is completed.
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September 2018Age of GenesisAge of Genesis / Initialization / Infrastructure / Private chain / Inter-chain transaction
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December 2018Age of SpeedAge of Speed / Light Speed Network / AI-enabled PoS+PoW consensus / Random generation of delegates nodes / Evolutionary parameter optimization
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April 2019Age of CivilizationAge of Civilization / AI-secured Intelligent Contracts / Formal verification / AI based proactive protection / AI created autonomous constitution
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January 2020Age of WonderAge of Wonder / Mining & Applications / Mining ICs / Computing/mining facility / Big data applications
Associations
Strategic Contributors
Partners
Exchanges
FAQ
MATRIX leverages the latest artificial intelligence (AI) technology to deliver on the promise of blockchain. Key innovations include:
| Auto-Coding Smart Contracts | MATRIX Smart Contracts use Natural Language Programming and adaptive deep learning-based templates to auto-code. English and Chinese supported. Additional languages supported later. |
| AI-powered Cybersecurity | AI-powered Secure Virtual Machine identifies potential loopholes and malicious intentions while ensuring robustness under high-intensity attack using a generative adversarial network. Dark Guardian uncovers malware and other illegal activities. |
| Adaptive Blockchain Parameters | Seamless integration of public and private chains with the capability for multi-chain collaboration. Support for adaptive self-optimization and the ability to tweak certain blockchain parameters without creating a hard fork. Ability to evolve alongside users. Suitable to support enterprise and government ecosystems. |
| Value-Added Green Mining | Innovative mining mechanism uses vast computing resources to run Markov-Chain Monte Carlo (MCMC) algorithms. MCMC algorithms have valuable real-world applications. Currently being used in collaboration with Beijing Cancer Research Hospital to improve speed and accuracy of cancer diagnosis. |
| Dynamic Delegation Network | Proprietary network hierarchy created with a distributed random clustering process without centralized control enables hybrid PoS + PoW consensus mechanism – dubbed HPoW or Hyper PoW – and reduces transaction latency. |
MATRIX AI Network is an intelligent, open-source, new generation blockchain that aims to solve major challenges currently stifling the development and adoption of blockchain technology. MATRIX leverages the latest artificial intelligence (AI) technology to deliver on the promise of blockchain.
Among the 1,000,000,000 MAN Tokens, a total of 150,000,000 were sold in the Initial Token Sale. The remaining 850,000,000 tokens are reserved for the following purposes.
(1) 100,000,000 are retained by the Foundation for founders, directors, advisors, early backers, management and community initiatives. These will be distributed in different phases after the initial ICO.
According to the development roadmap, the MATRIX mainnet will launch by the end of 2018. After the launch of the mainnet, the original 250,000,000 ERC20 MAN tokens will be swapped on a one-to-one basis for new MAN tokens.
(2) 200,000,000 tokens will be issued for one or more subsequent sale(s) to the public on later dates as Additional Token Sales (“ATS”). Proceeds from ATS will be dedicated to system scale up and production development.
(3) 400,000,000 are reserved as rewards for miners who contributed to the Proof of Work activities once the MATRIX AI Network mainnet is launched.
(4) 150,000,000 are allocated to the Foundation as management and sales incentives, grants and scholarships to support R&D, administration, marketing and community development activities in service of the MATRIX AI Network blockchain.