It offers an open - source peer-to-peer, decentralized blockchain platform that supports Artificial Intelligence (AI) models to be uploaded and executed on a distributed network. Zyber 365 Labs achieves AI democratization by supporting an open-source AI platform where AI models can be easily integrated into smart contracts to create AI-enhanced decentralized applications (DApps)
#SecuringTheGlobe
Users of a stablecoin governed by AI algorithms with transparent coin-issuing/burning process can be sure of the coin's validity and value.
A decentralized lending app can run an AI algorithm to determine your interest rate based on your personal credit history. Every step of the AI inference is transparent to prevent discrimination and ensure fairness.
AI can help improve underwriting decisions, better manage risks, and prevent fraud. An insurance DAO powered by on-chain AI can bring us better, cheaper, fairer, and less bureaucratic insurance.
CryptoKitties-like games would be much more life-like and interesting if they incorporated AI. Beyond the traditional dApp games on Ethereum, Zyber 365 Lab’s unique capability to execute on-chain AI allows for the possibilities of exciting new user experiences.
We are an innovative enterprise that prioritises the development of a sustainable AI-chain which will form the core of our operating system with the objective of delivering a decentralised and secure working environment.
We are an innovative enterprise that prioritises the development of a sustainable AI-chain which will form the core of our operating system with the objective of delivering a decentralised and secure working environment.
Web3 based OS, the new innovative operating system that combines the power of Cyber Security and Quantum Proofing to create Sustainable and Affordable Solutions for Future through L-1 Chain.
Learn Blockchain and Web development Courses with us
Our system leverages a combined potential of Web3 and market-leading security measures to safeguard digital assets and transactions. With decentralization at core, our system ensures greater transparency and protection against unauthorized access, data breaches, and tampering.Through encryption and decryption techniques and consensus algorithms, transactions are verified and recorded securely. Our cybersecurity protocols include multi-factor authentication, encryption, and secure key management. Whether you're a business or individual, our Web3 operating system with integrated cybersecurity is the solution for data integrity and confidentiality in the digital era.
We have put forth a mechanism that incentivizes AI developers to store models on the
blockchain. This creates an open ecosystem where individual AI developers, not just big
corporations, are incentivized to upload their AI models to the blockchain, and Dapp developers have
access to choose from the best AI models in the world. The competition between AI model providers
will naturally lead to the evolution of better and better AI models.
Establishing an AI on Blockchain ecosystem, where on-chain execution of AI models is no longer a
theoretical possibility, AI researchers are rewarded for open-sourcing their models, and dApp
developers can integrate AI into their smart contracts to build amazing applications.
Research Focus:
Web3 security platform , Develop tools and techniques for identifying common smart
contract vulnerabilities (e.g., reentrancy attacks, integer overflows, underflows,
front-running, etc.).
Use formal verification methods to mathematically prove the correctness and security of smart
contracts.
Develop machine learning models that can automatically detect vulnerabilities based on
historical data from known exploits.
This platform provides automated smart contract security analysis, and research could focus on
improving its detection algorithms or extending its coverage to newer vulnerabilities.
Research Focused on Al-powered data labeling, analytics, and automation solutions for businesses in industries like robotics, autonomous vehicles, and machine learning.
Advanced AI algorithms
Machine learning algorithms for healthcare
Computer vision for self-driving cars.
Neural networks for financial forecasting
Climate change and environmental monitoring
Robotics in manufacturing
Optimizing supply chains
Quantum algorithms
