Artificial Intelligence BlockCloud (AIBC) Technical Whitepaper
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.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
VoTranhOmniLearner - A Self-Evolving Digital Universe for Simulating Consciousness and Societal Dynamics
VoTranhOmniLearner is an innovative simulation framework designed to model a dynamic digital universe with thousands of entities, intricate social interactions, and self-reflective processes. By integrating machine learn…
ManagementCAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval
Given a natural language description, text-based person retrieval aims to identify images of a target person from a large-scale person image database. Existing methods generally face a \textbf{color over-reliance problem…
AllDecision MakingPerson RetrievalRetrieval+2Exploring the intersection of Generative AI and Software Development
In the ever-evolving landscape of Artificial Intelligence (AI), the synergy between generative AI and Software Engineering emerges as a transformative frontier. This whitepaper delves into the unexplored realm, elucidati…
ManagementDemystifying AI Agents: The Final Generation of Intelligence
The trajectory of artificial intelligence (AI) has been one of relentless acceleration, evolving from rudimentary rule-based systems to sophisticated, autonomous agents capable of complex reasoning and interaction. This …
Developing trustworthy AI applications with foundation models
The trustworthiness of AI applications has been the subject of recent research and is also addressed in the EU's recently adopted AI Regulation. The currently emerging foundation models in the field of text, speech and i…