Artificial Intelligence BlockCloud (AIBC) Technical Whitepaper

TL;DR

The paper introduces the Artificial Intelligence BlockCloud (AIBC), a decentralized ecosystem integrating AI and blockchain to enable efficient resource sharing, employing innovative consensus mechanisms and deep learning for optimal performance and security.

Contribution

It presents a novel multi-layer architecture with a two-consensus scheme, combining AI-driven algorithm selection and economic valuation for blockchain resource management.

Findings

Effective resource sharing with low cost

Enhanced security and robustness through AI-based consensus

Accurate economic valuation of digital assets

Abstract

The AIBC is an Artificial Intelligence and blockchain technology based large-scale decentralized ecosystem that allows system-wide low-cost sharing of computing and storage resources. The AIBC consists of four layers: a fundamental layer, a resource layer, an application layer, and an ecosystem layer. The AIBC implements a two-consensus scheme to enforce upper-layer economic policies and achieve fundamental layer performance and robustness: the DPoEV incentive consensus on the application and resource layers, and the DABFT distributed consensus on the fundamental layer. The DABFT uses deep learning techniques to predict and select the most suitable BFT algorithm in order to achieve the best balance of performance, robustness, and security. The DPoEV uses the knowledge map algorithm to accurately assess the economic value of digital assets.