Matrix’s new Green Paper outlines the Matrix 2.0 Ecosystem.

The Matrix team is excited to release the Matrix 2.0 Green Paper. Over the past years, the Matrix team has been hard at work using AI technology to overcome the four fundamental problems of blockchain: low transaction speeds, lack of security, difficulty of use, and wasted resources. With Matrix 2.0, the focus turns to improving AI itself. With Matrix 2.0, the team uses blockchain to verify data assets, ensure data privacy and manage computing power resources. The ultimate goal is to train AI models to make AI technology more accessible and affordable. Matrix is aiming to advance the practice of AI technology.

MATRIX 2.0

There are three core elements to AI technology: computing power, data and AI model. Large quantities of high-quality data and massive amounts of computing power are needed to train AI models. Without these three components, AI technology cannot advance.

Computing power/Data/Computing model

Computing Power

Matrix 1.0 has already largely addressed the issues relating to computing power. In developing the Matrix AI Network, the team created a more environmentally friendly network with limited computing power wastage. Using Matrix’s proprietary HPoW selection algorithm, only a small subset of the network’s computing power is used for mining activities. The remaining idle computing power can be redirected towards more meaningful tasks to create value in fields like cancer diagnosis, graphical image recognition, financial modeling and more.

Data

Big data plays an indispensable role in AI technology. AI models are only useful if trained with high-quality data models. However, as the concept of “data oil” becomes ever more prominent, so do issues relating to data privacy and data ownership. In order to advance the integration of multi-dimensional data and break through the “data island” states, Matrix 2.0 relies on blockchain and distributed storage technologies.

AI Models and Industry 4.0

In industry 4.0, AI algorithms and models will become the core competitive power of “Digital Economy”. AI technology and a big data enable Matrix to train AI models that can be directly applied in industrial environments. In Matrix 2.0, a blockchain-based AI economy will be developed centering on data, computing power and algorithm models.

AI Models and People: The Strength of Matrix 2.0

Matrix is creating a blockchain data platform where users — both enterprise and individual — can share their data and receive rewards. When data is uploaded, Matrix 2.0 uses the blockchain to verify data ownership. This mechanism also serves to protect the data from theft as data is stored in distributed storage using cryptographic technologies. At the same time, any users who use the uploaded data to train AI models will pay data owners.

Data owners receive rewards by uploading data. AI model owners use the data to train their AI models. Matrix 2.0 is suitable for both individual and enterprise users. The Matrix AI Network is also developing more accessible interfaces according to individual user needs.

Perpetual Blockchain Growth

Although the Matrix 2.0 era is upon us, the Matrix AI Network will continue to improve and add functions to the Matrix AI Network blockchain. Indeed, this constant improvement is vital to the success of Matrix 2.0. The Matrix AI Network blockchain operating system will offer a range of services to developers, including oracle services, multi-chain management, middleware solutions, smart contract creation, Dapp development, and a range of plug-ins. The Matrix AI Network blockchain will also offer users a selection of modules and services so that they can customize their own blockchain solutions.

In Matrix 2.0, Matrix AI Network Mining Masternodes provide computing power. They form the hardware layer of Matrix 2.0. Bandwidth and storage providers provide offer distributed storage space and form the data and AI model layers. Data uploaded by users form a fluid multi-dimensional data platform — the software foundation of Matrix 2.0. Blockchain and distributed storage technologies are used to manage computing power, data and AI models to make Matrix 2.0 a decentralized “AI lifecycle” platform.

Stay tuned over the coming weeks for deeper dives into the Matrix 2.0 ecosystem. And be sure to read the Matrix 2.0 Green Paper.