MATRIX：Creating a “Windows-like” Intelligent System in the Blockchain Field
Exclusive interview with Jinse Finance
It is known that according to CAP theory in distribution systems — namely in Consistency, Availability and Partition tolerance — distributed systems can only satisfy two points at the same time. There are even suggestions that architects should consider how to make choices between these three elements instead of wasting resources on how to meet all points at the same time. But MATRIX has done it, and this is only one of MATRIX’s advanced technologies.
Jinse Finance interviewed MATRIX CEO Owen Tao, CTO Bill Li and chief AI scientist Deng Yangdong, to learn more about their breakthrough technology, MATRIX’s overall structure, ways MATRIX combines with AI technology, and its ecological construction.
Owen Tao, MATRIX CEO has Bachelor’s of Physics and Economics from Peking University. Tao has served as CEO for high-tech companies over many years and has extensive experience in product development. He has led the development of 3D virtual communities and many internet technology products like the first Chinese game system to include embedded advertisements. Owen Tao has rich experience in selling products overseas and product operations, he has also built a network operation platform for 20 million users.
Steve Deng, MATRIX Chief AI Scientist, carries a Ph.D. from the Department of Electronics and Computer Engineering at Carnegie Mellon University, USA. He joined America Magma Design Automation as a consulting researcher in 2006, and returned to China to teach at the Institute of Microelectronics of Tsinghua University in 2008, going on to become an associate professor at the Institute of Software at Tsinghua University in 2013. He is now considered a national expert, creating the top course: “Structural Integrated Circuit Design and High Level Synthesis”. His book Structural Integrated Circuit Design and High Level Integration was selected as the teaching material for Digital Integrated Circuit System Design courses, by the Ministry of Education.
Bill Li, MATRIX Chief Network Architect, is a top-level chip design expert and communications expert in China. He has led and designed China’s first WiFi chip. As a member of China’s chief engineering team, he helped to design the communications dispatch and command system for China’s first aircraft carrier, the LiaoNing. He also played an important role in the process of developing national 4G standards, 4.5G (NB-IoT-l) standards and 5G standards. His book on chip design, Communication IC Design, has been used as teaching material at the postgraduate level.
Bill introduced MATRIX to Jinse Finance saying: “MATRIX achieves our goals to meet consistency, availability and partition tolerance at the same time through a basis of true-random election and AI constitutional consensus.” The random election helps to achieve high efficiency. The AI constitutional consensus helps to achieve high security. In AI constitutional consensus, three elements are separated to prevent all possible, intentional cheats. And the representative mechanism helps to improve trading efficiency. In addition, the introduction of AI makes MATRIX judge each controversial transaction reasonably, automatically and effectively.
According to Bill, the design goal of MATRIX is to form a complete ecology, which not only facilitates application personnel to develop various applications, but also facilitates developers to carry out various innovative applications of MATRIX. MATRIX is not just blockchain’s public chain, it includes a basic main chain, artificial intelligence, security defense, system applications, and a user and development- friendly operating system.
Suppose a developer needs to share his video on a video trading website, the user only needs to follow MATRIX’s development rule, which is: choosing an application based on the video storage class, then choose a corresponding transaction model. If the user wants further customization, he can fine tune the simple script and deploy it following the template guide. AI assistants can be utilized to find another way of making further customizations. People can directly use natural language, combined with some manual modifications, to complete the deployment. MATRIX also supports dynamic modification on the chain.
Bill went on to compare MATRIX with other chains that mainly focus on trading speed or a specific single feature, while MATRIX provides complete solutions. “It pays more attention to synergies among features and the ergonomic convenience this brings. If we treat other chains as a production in the DOS era, which only support command control. MATRIX supports graphic interface control and touch interface control like the Windows operating system does, which has encouraged more users and developers to use it.”
MATRIX’s special double-chain structure supports enterprises and individuals that release private chain on MATRIX’s public chain. MATRIX’s multi-node enhances the security of private chains. CEO Owen Tao believes an alliance chain isn’t a sensible idea, and is no longer needed in the MATRIX system.
Developers are the most important part in the beginning stages of development, as high quality applications will attract a large number of loyal users to the platform. The method MATRIX takes to attract developers is divided into two aspects:
1. Making development easier for developers on the platform.
2. Enhancing developers experiences in creating successful applications on the MATRIX platform.
MATRIX provides plenty of development tools, easy-to-use interfaces, and solutions from other areas in order to help developers easily release applications on the platform. Owen believes that, “More developers will be attracted when they know it is easier when developing applications on your platform.”
For example, MATRIX’s “Smart Contract” function can reduce the time developers spend on contract writing. Basic coding skills are required when using traditional smart contracts, whereas only natural language will be needed when using MATRIX’s smart contracts. Statistically, about 18 million people in the world know coding and programming language, but how many people know natural language? That would be 7 billion. This shows that the potential user base for MATRIX smart contracts could be 350 times that of traditional smart contracts.
Another example: the most serious problem digital assets face is that their security cannot be guaranteed. Instances of personal accounts being stolen and exchanges being attacked by hackers have only burgeoned. Without a sound security system, digital assets may not survive. Owen told Jinse Finance that in order to protect users from attacks by hackers via IP address, MATRIX will release an important function: The system will provide a secure channel to users. In this tunnel, all terminals have no IP address, greatly increasing security. Owen says that this security measure means “our developers will have more time to focus on application development and user experience, rather than security problems.”
MATRIX has also established its own ecological fund, MATRIX Fund, and will invest in good eco-projects. As a former game development engineer, Owen Tao is quite familiar with the huge promise of gaming. Game players are the holders and traders of inborn digital assets, and they are moving more seamlessly from the gaming field to the blockchain field, than ordinary users.
As such, the MATRIX Fund invested in BIT.GAME, and together they have built the World Blockchain Game Alliance. At the same time, MATRIX signed up hundreds of first-rate game development companies, and plans to invest in their excellent products. Owen says, “as long as one or two products are successful, MATRIX will have hundred of thousands, or even millions, of users. This will also create a positive impression on developers that developing applications on the MATRIX platform can be a great success, attracting more and more developers.”
AI is the core of the MATRIX system. The details are described as follows:
1. MATRIX uses AI to make trade faster and to make smart contracts easier and safer. And at the same time, MATRIX is gradually forming an AI security constitution, so as to protect every trading user.
2. MATRIX’s design of link aims at providing distributed AI services to outsiders efficiently.
MATRIX is also going to establish an AI constitution within its own system. The core of this will be judging and auditing every transaction with AI. Based on that, the interests of users will be guaranteed. Chief AI Scientist Steve Deng explained to Jinse Finance, “MATRIX’s every node has built-in AI identification judge clauses, which are based on consensus and support being voted on and optimized. This is the key to realizing the AI constitution. The AI constitution will be supplemented and amended by way of ‘constitutional amendment’ later.”
Bill goes on to say that MATRIX is using a voting mechanism like DPOS consensus mechanism to enhance transaction throughput rates. However, it is different from DPOS consensus mechanism from an implementation point of view.
1. MATRIX uses an automated and random clustering algorithm to select representatives, avoiding the inefficiencies caused by manual voting.
2. MATRIX only takes stake as insurance, instead of using stake as a voting standard, avoiding the problem of the rich become richer and the poor become poorer.
3. MATRIX’s representative node will distribute transaction verification and POW task to its voters to ensure their award.
4. MATRIX brings in a supervised mechanism to find dishonesty nodes during the voting process and formula computing.
It is reported that MATRIX will accomplish blockchain design and release test chain by the end of September, including an integrated consensus mechanism and support for quick trade.
Bill stated that MATRIX’s current development progress is going smoothly. Various technical engineers are keeping up with the development schedule. The smart contract teams progress is advancing quickly, with the consensus mechanism and quick trade prototype design completed, while the blockchain’s strategic cooperation of application is being shaped gradually.
According to Owen Tao, MATRIX is discussing business cooperation with a drive recorder factory. In the future, users may obtain tokens by sharing their personal driving data. “We can research and develop AI products, such as automatic driving, and users may purchase these products and services by token. This is the perfect business ecosystem we are trying to build”.
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