Decentralized Compute Protocol

Blockchain-integrated Distributed AI service

WE-AI Scalability : Decentralized Compute Protocol

WE-AI aims to ultimately expand into a distributed artificial intelligence program utilizing blockchain to enhance the efficiency, security, and reliability of AI tasks. This program consists of various elements, including data decentralization and protection, trust verification through smart contracts, and data security through blockchain. The purpose of WE-AI is to create new models and social value through the fusion of blockchain technology and artificial intelligence.

What is Blockchain-integrated Distributed AI service?

The convergence of blockchain technology and distributed artificial intelligence (AI) has led to the development of a groundbreaking solution known as the blockchain-integrated distributed AI program. This innovative program combines the decentralized and transparent nature of blockchain with the computational power of distributed AI, revolutionizing various industries and applications.

The blockchain integration within the distributed AI program brings several key benefits. Firstly, it enhances data security and privacy by leveraging the immutability and cryptographic features of blockchain technology. All AI computations and data transactions are recorded on the blockchain, ensuring transparency and preventing unauthorized access or tampering.

Moreover, the blockchain integration introduces a trustless environment, eliminating the need for intermediaries in AI transactions. Smart contracts, powered by blockchain, enable automated and self-executing agreements between participants, ensuring fairness, accountability, and efficiency in AI operations.

In this program, AI computations are distributed across a network of interconnected nodes, which can include personal computers (PCs) of individual users. By utilizing idle computational resources of PCs, the program harnesses collective computing power, enabling high-performance and scalable AI processing.

The distributed AI program incentivizes users to contribute their computing resources through a reward system. Participants are rewarded with virtual assets, such as tokens, based on their contributions and the quality of their AI computations. These virtual assets can be accumulated, exchanged, or even converted into real-world value, providing tangible benefits to the participants.

The program also incorporates machine learning algorithms, deep neural networks, and other advanced AI technologies to enable complex data analysis, predictive modeling, and decision-making capabilities. By combining the computational power of distributed AI with the transparency and security of blockchain, this program opens up new possibilities in sectors such as finance, healthcare, supply chain management, and more.

The blockchain-integrated distributed AI program represents a paradigm shift in AI computing, fostering collaboration, decentralization, and innovation. It empowers individuals, organizations, and communities to actively participate in AI development while ensuring data privacy, security, and fairness. As this technology continues to evolve, it holds immense potential to reshape industries and drive the next wave of AI-powered advancements.

Expansion of Blockchain-Integrated Distributed AI Program

Evolving into a system where multiple nodes collaborate on performing artificial intelligence tasks on the network.Each node possesses its own computing power and data, utilizing protocols for efficient task distribution and result sharing on the network.

Smart contracts:

• Constructing programs that automatically execute contract conditions and rules among nodes in the distributed AI network.

• Through smart contracts, it becomes possible to handle rewards and distribution of results for AI tasks, as well as verification of trustworthiness among nodes.

Data protection and privacy:

• Data results generated from AI tasks are stored on the blockchain, preventing tampering or forgery, and can be securely shared among nodes.

• Personal identifying information is encrypted, maintaining anonymity, and access permissions to data are strictly controlled through smart contracts.

Operating Principles

Performing Artificial Intelligence Tasks

Nodes in the distributed AI network exchange data and collaborate to leverage distributed computing power for task execution. Tasks are distributed and executed in parallel among nodes, and the results are verified and distributed through smart contracts.

Data Exchange and Storage(to be edited)

Data required for AI tasks is stored on the blockchain. The blockchain is used as a shared ledger to prevent data tampering and verify the trustworthiness of tasks. Data exchange is encrypted for secure transmission, and data owners can manage access permissions through smart contracts.

Result Verification and Reward

The results of AI tasks are verified and rewarded through smart contracts. Smart contracts automatically execute contract conditions, and nodes participating in the tasks receive rewards. The reliability of results is verified through the distributed ledger of the blockchain.

Potential Use Cases (to be edited)

Large-scale data processing and analysis: Efficient processing and analysis of large-scale data can be achieved by leveraging distributed computing power and data security through the blockchain.

Enhanced security: Data security is strengthened by utilizing encryption and distributed storage methods of the blockchain, ensuring integrity.

Decentralized AI systems: By building a distributed AI network without relying on centralized AI systems, decentralized systems can be implemented.