arXiv:2606.13690v1 Announce Type: cross Abstract: This paper,from the perspective of a collaborative intelligent computing system formed by combining human-computer interface and collaborative computing programs, discusses the principles of optimized cloud computing technology supported by the combination of an indirect computing model and an indirect formal method. On the basis of systematically reviewing the influence of previous theoretical achievements Turing's computability theory,Kleene's formal theory of small strings,von Neumann's digital computer architecture and Turing's hypothesis o
This paper is being published as research continues into optimizing computing paradigms, particularly for complex collaborative AI systems, building on foundational theories to address current challenges in cloud computing.
A strategic reader should care because optimized cloud computing through novel computing models and formal methods could significantly enhance AI system efficiency and performance, impacting infrastructure costs and capabilities for AI development.
The theoretical exploration of 'indirect computing models' and 'indirect formal methods' integrated into cloud computing could lead to new architectural approaches for intelligent computing systems, improving their collaborative and optimization aspects.
- · Cloud computing providers
- · AI research institutions
- · Developers of intelligent computing systems
- · High-performance computing sectors
- · Inefficient cloud computing architectures
Increased efficiency and potential cost reductions in large-scale AI deployments and cloud services.
Accelerated development of more complex and collaborative AI agents due to improved computational backbones.
Enhanced competition among cloud providers focusing on 'indirect' or similar optimized computing paradigms, leading to further innovation.
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