MATRIX AI Network
A Great Adventure of Blockchain and AI
A Great Adventure of Blockchain and AI
MANTA is an auto-machine learning platform built on MATRIX Mainnet. It enables anyone with no technical knowledge in AI to perform machine learning on a MATRIX node and get the AI models they need.
MANAS is a distributed AI Service Platform built on MATRIX Mainnet. Its functions include AI model training, AI algorithmic model authentication, algorithmic model transaction, paid access to algorithmic models through API, etc. We aim to build a distributed AI network where everyone can build, share, and profit from AI services.
MANART is a platform dedicated to AI-related NFT asset generation and authentication. It has two key elements: 1. the “Big Threes” of AI (Computing Power, Data, and Algorithmic Models), and 2. AI art.
MANITO is an industrial network service platform built on MATRIX leveraging the high-performance blockchain. By incorporating AI, Big Data, IoT and blockchain technologies, it will be a powerful tool for implementing Industry 4.0.
On MATRIX AI Network, MAN tokens are used for rewarding, payment and digital asset authentication.
Block-generating miners, transaction validators, and participants in the MATRIX ecosystem have the privilege to earn MAN tokens as a reward.
From leasing spare computing power to purchasing AI services, on MATRIX AI Network everything is paid in MAN.
The process of converting computing power, algorithmic models, or AI artworks into digital assets involves burning a required number of MAN in the forging of NFTs.
Demo version of MANAS, the AI Service Platform;
Release of Watch Man, an upgraded version of blockchain browser;
Release of Bank Man, an upgraded MAN wallet;
MAN Training Assistant (MANTA) Private Test (GPU Mining as an integral part)
Closed beta test for MANAS, the AI Service Platform;
AI algorithmic model authentication platform—MANIA;
MANTA (beta).
More than 10 AI applications available for commercial use on MANAS;
MANTA available on MATRIX platform;
Authentication platform;
NFT trading platform;
Synchronization with IPFS storage platform.
AI Service Platform proxy promotion mechanism;
Release of AIRTIST Alpha version;
Cross-chain platforms enabling asset transfer using NFT;
Data authentication and NFT generation on IPFS Mainnet.
Work with matured platforms for NFT trading;
An ecosystem of NFT for the trading of computing power, algorithmic models and
data;
Software Solution compatible with mainstream machine learning hardware.
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.
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.
As the marketing director of MATRIX AI Network, Ken has nine-year experience in International marketing and community management. He has diversified channels of International marketing and maintains his own network with figures in the field of commence, politics and media in European and Southeast Asia areas.
Ethan is the vice president of operations of MATRIX AI Network. Graduating from Peking University, Ethan once worked as senior R&D engineer in Microsoft. He has extensive experience in the development of large-scale software systems, computing platforms and multiple blockchain projects.
Mr Eric CHOY is a blockchain enthusiast. Upon graduating with degrees of BEng and MPhil from the Hong Kong Polytechnic University, he has obtained 18 years of solid experience in Technology, Innovation, Marketing and Education sectors. He has run successful marketing, content and localization strategies for many global top-tiered clients. Eric is channelling his passion into Matrix with a mission to bridge the project team with the community in terms of branding, content, community and technology education.
(as of 12 April, 2022)
This FAQ contains the basic information about MATRIX AI Network, and common questions from communities at different channel. It is a working document and will be updated from time to time.
The development of blockchain is held back by three obstacles:
a) Slowness: Take Bitcoin for example. An average transaction takes over an hour to verify. This is a hurdle to the promotion of blockchain;
b) Security issues: Whether it’s the DAO attack on Ethereum or the many security issues plaguing DeFi projects, tens of thousands of dollars could be at stake. If security should be an issue for crypto assets, then there is no point investing in them.
c) Impact on environment: Take Bitcoin for example. PoW of Bitcoin is nothing but meaningless hash computing that creates no real value for society. According to statistics, 70% of the world’s computing power is consumed to mine cryptos, which is a million times Google’s computing power. Bitcoin mining also consumed more power each year than 260 countries of the world, creating a huge waste.
Vision: To build a decentralized auto-functioning AI economy
Mission:
Stage One: Highly efficient blockchain platform
Stage Two: Decentralized cloud computing platform
Stage Three: Digital asset authentication platform/Digital asset trading platform
Thanks to fast-growing AI technologies, MATRIX offers unique features as follows.
SAFER: Making blockchains more robust under malicious attacks.
FASTER: Enabling faster transactions and higher processing throughput.
MORE FLEXIBLE: Seamless integration of public and private chains with the capability of adaptive optimization.
