MATRIX is a public blockchain that deeply integrates artificial intelligence (AI) technology with blockchain technology, representing the next generation of blockchains and leading the global initiative in the AI + blockchain domain. MATRIX effectively leverages advanced AI technologies to address issues and bottlenecks in efficiency, speed, security, usability, and flexibility present in existing blockchain platforms, building a blockchain network with self-optimization capabilities.
Project Introduction
MATRIX is an open-source blockchain platform supporting smart contracts and machine learning services. By reconstructing its infrastructure based on artificial intelligence (AI) technology, MATRIX revolutionizes the user experience of executing smart contracts, making the entire process faster, easier, and more secure. MATRIX offers breakthrough technologies to build a highly flexible blockchain network that supports adaptive self-optimization and multi-chain collaboration. In addition to rebuilding blockchain with AI, MATRIX also allows its mining capabilities to serve its AI-based big data applications.
Vision
MATRIX combines blockchain with AI technology, aiming to develop a new generation of smarter, more usable, secure, efficient, and flexible public chains. MATRIX features a series of groundbreaking innovations, including the automatic generation of smart contracts through deep learning, AI-based security audits for smart contracts, and mining using Markov Chain Monte Carlo (MCMC) algorithms.
Key Features
The MATRIX platform builds upon advanced blockchain, distributed computing, and machine learning technologies, continuously unlocking the value of data while laying a solid foundation for data security and privacy protection. It explores new possibilities for AI across various domains, providing strong impetus for the continuous development of blockchain and AI technologies.
- More Usable: Supports users without programming experience in designing their own smart contracts.
- More Secure: AI technology enhances the blockchains ability to prevent malicious attacks comprehensively and robustly.
- Faster: All actions and transactions on MATRIX are executed with higher efficiency and faster transmission speeds.
- More Flexible: Seamless compatibility with both private and public chains, along with the ability for self-adjustment and natural evolution.
Use Cases
Automated Smart Contracts
Natural language input without programming required. Through natural language programming (speech and semantic recognition technology), certain standard natural language can be automatically converted into smart contracts. With the help of deep learning technology, it continuously learns from smart contract samples, enhancing the security of smart contracts and handling more complex conditions. Currently supports English and Chinese, with more languages to follow.
AI Active Defense
An AI-powered security virtual machine identifies potential vulnerabilities and malicious behaviors. It uses generative adversarial networks to simulate attacks on contracts before they go live, ensuring system robustness. Dark Guardians within the MATRIX network expose malware and other illegal activities.
Darwinian Evolution
Utilizes multi-chain collaboration to achieve seamless integration between public and private chains. Supports network self-adjustment and optimization without requiring hard forks for parameter adjustments, allowing it to evolve alongside its users. Suitable for ecosystem designs for enterprises and governments.
Computational Power for Good
Uses a unique Bayesian mechanism to harness computational power for running Markov Chain Monte Carlo (MCMC) algorithms, solving real-world problems with practical applications. MATRIX is currently collaborating with Beijing Cancer Research Hospital to leverage its AI blockchain system to improve the speed and accuracy of cancer diagnoses.
Wormhole Network
A unique HPOW consensus mechanism combines POS and POW, using AI clustering algorithms to ensure high concurrency without sacrificing decentralization, making it more secure and trustworthy, theoretically supporting massive concurrency.