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OAIS™: An Operating System for AI-Native Computing

Year: 2025

Type: article

Abstract: Artificial Intelligence has advanced into daily use, yet its deployment remains constrained by infrastructures designed for traditional computing. Current systems rely heavily on cloud platforms, which produce three systemic limitations: dependence on external vendors, loss of data sovereignty, and an inability for AI to retain memory. Stateless architectures reduce intelligence to short-lived outputs, breaking continuity and trust.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17196859

Author: Farid, Rafiei

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7083311387

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