The invention of Bitcoin in 2008 symbolized the advent of cryptocurrency. The succeeding years witnessed a dramatic growth of the blockchain technology. The introduction of Ethereum opened the path for supporting complex business behaviors with cryptocurrencies. The overall momentum of development, however, is now facing a series of key challenges. These include: (1) slow transaction speed; (2) Smart contracts programming barriers; (3) lack of security in smart contracts; and (4) inflexibilities in managing and updating blockchains.
Designed to be the new generation blockchain, MATRIX leverages the latest artificial intelligence technology to resolve the abovementioned challenges. The fusion of blockchain and AI technologies enables MATRIX to build a revolutionary cryptocurrency, which supports significantly boosted transaction speed, superior accessibility to general users, enhanced security under malicious attacks, and highly flexible operations.
No programming; available for everyone;potential users are 350 times that of Ethereum.
AI protection; automatic sniffing holes; make your assets more secure.
Faster Blockchain Network with one million transactions per second, even better than Visa
Always adapt to market demand; natural evolution; never forked
Five Minutes To Understand MATRIX
The project was officially launched
Complete the first edition of artificial intelligence Bayesian inference machine design.
Complete blockchain design based on Artificial Intelligence.
The first edition of artificial intelligence inference machine test completed.
Completed the exhibition of artificial intelligence Demo.
Age of Genesis / Initialization / Infrastructure / Private chain / Inter-chain transaction
Age of Speed / Light Speed Network / AI-enabled PoS+PoW consensus / Random generation of delegates nodes / Evolutionary parameter optimization
Age of Civilization / AI-secured Intelligent Contracts / Formal verification / AI based proactive protection / AI created autonomous constitution
Age of Wonder / Mining & Applications / Mining ICs / Computing/mining facility / Big data applications
Chief AI Scientist
Prof. Deng is an associative professor of School of Software, Tsinghua University, where he has been a faculty member since 2008. Prior to Tsinghua, he was with Magma Design Automation as a consulting technical staff. He received his Ph.D. degree from Carnegie Mellon University and completed his ME and BE studies at Tsinghua University. His research interests include machine learning, industry data analytics, and computer architecture. He has been the PI or Co-PI for numerous national level research projects. Since 2016, he has been the Vice Principle Architect of China Railway Rollingstock Corporation’s Prognostics Health Management for High-Speed Trains Project, which focuses on leveraging modern machine learning techniques to revolutionize the operation and maintenance of railway vehicles. His book, Structural IC Design and High Level Synthesis, was adopted as the textbook of IC design by Tsinghua and many other universities. His work on deep learning based image detection was ranked #1 in many prestigious challenges (e.g. PASCAL VOC and COCO). He is the author or co- author of over 50 papers. He received many awards, including a best paper award on International Conference on Computer Design 2013, NVIDIA partnership professor Award, and Tsinghua Key Talent Award. He is in charge of designing machine learning algorithms and hardware architectures for the MATRIX blockchain.
Chief Network Architect
Mr. Li is a leading expert of communication and IC design. He is a major contributor of many 4G, 4.5G(NB-IoT) and 5G standards of China. He was the chief architect of China’s first WiFi transceiver IC. As a Co-PI, he led the design of the dispatch communication system of China’s first aircraft carrier. His work on communication IC designs won numerous national awards. His book, Communication IC Design, was the best-selling textbook in this area and is used by many prestigious universities. He will lead the architecture design of the MATRIX blockchain.
Chief Chip Scientist
Dr. Shi is a veteran of the semiconductor industry. Prior to joining MATRIX, he was a Principal System Architect of AMD and also responsible for the technology partnership of AMD with companies and universities in greater China. Before this position, he held various position at different leading international IC companies such as Synopsys and ARM. Dr. Shi was also with Samsung Semiconductor as a senior chip design engineer (based at Samsung’s headquarters in Korea). Dr. Shi received his Ph.D. degree from the Chinese Academy of Sciences in 2005.
Mr. Tao received the bachelor degree in the double-major (physics and economics) program of Peking University. Holding the CEO positions in several high-tech startup companies, he has rich experience in managing product development. He supervised the development of the 3D virtual community, China’s first embedded game advertising system and other Internet technology products. He also has strong skills in product operation and promotion. He led the development and operation of China’s first cross- border e-commerce platform, which attracted 20 million users around the world. As the CEO of MATRIX, Mr. Tao is responsible for strategic decision making and product positioning.
DR. DONGLIN WANG
Dr. Wang is the director of National ASIC Design Center, Institute of Automation, Chinese Academy of Sciences. From 2009 to 2015 he served as the president of , Institute of Automation, Chinese Academy of Sciences. He was also on the advisory board of China’s Core Electronic Devices, High-end Generic Chips and Basic Software Project. He received two Second Class National Science and Technology Progress Awards and one First Class Defense Science and Technology Progress Awards. He was voted as the Expert with Outstanding Contributions to China’s Defense Science and Technology. Dr. Wang will provide strategic and technical advisory services to MATRIX’s AI algorithms and chip development.
Mr. Surtees is the founder and CEO of cloud-based content management platform Hyperlocalizer Pty Ltd. He has a high profile in the media, consumer and B2B industry sectors, he plays. His roles have included general management, strategy, marketing and operations in large public companies in Australia, Asia and the United States. He has also been an investor and mentor to managers in early stage private internet and technology businesses. At Yahoo Inc. (USA), Mr. Surtees launched new Commerce Group business units across 13 countries and was responsible for the launch of Yahoo Shopping. Mr. Surtees has a Master of Science in Management from the Stanford Graduate School of Business, a Bachelor of Commerce (B.Com) marketing major from the University of New South Wales, and a Company Director Diploma from the University of New England.
Niu Junling, Partner, Board Member, and Investment Committee Member of Hua Capital and CEO of Hua Digital.
Mr. Niu has over 20 years experience in financial investment and global asset allocation including extensive experience in the US Stock market, A-shares, the Hong Kong Stock Market, futures, options, and digital assets. He is also well versed in market value management, cross-border M&A, fund management and asset transactions. Mr. Niu has worked for Goldstone Investment of Citic Securities and the HNA Group. He manages funds worth over RMB 40 billion. He is an early follower and investor in the blockchain industry, and has successfully invested in Bitmain, Elastos, BCC and other blockchain projects.
Dr. JINGYANG WANG
Dr. Jinyang Wang MATRIX Chief Intellectual Property Advisor. Mr. Wang received a Bachelor of Science degree in Automatic Control from Harbin Engineering University in 1982. In 1985, he was the first batch of patent attorneys after the implementation of the Chinese Patent Law. Has long been engaged in technology development and scientific and technological management, worked in the four computer company executives, former Beijing Ji Kai wisdom property rights limited liability company manager, has a wealth of intellectual property rights management experience and experience, especially good at computer, application Electronic and communications field of patent writing, in the review, invalid, infringement litigation and corporate patent strategy and other aspects of the deployment of a wealth of experience for a large number of Chinese and foreign customers with a satisfactory professional legal services. Mr. Wang is currently a number of the domestic listed companies intellectual property rights legal adviser, is the China National Patent Attorneys Association and the China Intellectual Property Association. Mr. Wang will create a complete intellectual property protection system for MATRIX.
WHAT IS MATRIX?
MATRIX is an open-source blockchain platform that supports smart contracts and machine learning services. With its infrastructure re-built with artificial intelligence (AI) techniques, MATRIX revolutionizes the user experience of executing smart contracts by making the whole process faster, easier, and safer. MATRIX offers breakthrough technologies in building highly flexible blockchain networks, which support adaptive self-optimization and multi-chain collaboration. In addition to refactoring the blockchain with AI, MATRIX also allows its mining power to serve its AI based big data applications.
WHAT ARE MAIN FEATURES OF MATRIX?
Thanks to the fast-growing AI technologies, MATRIX offers unique features as follows.
1. EASIER: Allowing everybody to design smart contracts without explicit programming skills.
2. SAFER: Making blockchains more robust under malicious attacks.
3. FASTER: Enabling faster transactions and higher processing throughput.
4. MORE FLEXIBLE: Seamless integration of public and private chains with the capability of adaptive optimization.
WHAT IS MATRIX's CONSENSUS MECHANISM?
MATRIX adopts a unique hybrid PoS + PoW consensus mechanism. The PoW is performed in a significantly smaller network of delegates, which are selected with a randomly distributed voting algorithm. The probability of a node to be selected is proportional to its PoS. The “winner” delegate shares the PoW reward with other nodes in its cluster.
DOES MATRIX HAVE A MINING MACHINE?
Due to the random nature of MCMC computations, the mining computing of MATRIX is better supported by dedicated stochastic hardware. The first generation of mining machine, a Bayesian reasoning machine, was already designed and prototyped. The prototyping design will be integrated as a single IC chip in the timeframe of two years.