AIDCNIJun 14, 2023

Naeural AI OS -- Decentralized ubiquitous computing MLOps execution engine

arXiv:2306.08708v62 citationsh-index: 5
Originality Synthesis-oriented
AI Analysis

This work aims to reduce barriers for widespread AI adoption in ubiquitous computing by lowering costs and expertise requirements, though it appears incremental in combining existing decentralized and low-code concepts.

The paper tackles the high costs and complexity of deploying AI systems by introducing a low-code platform for decentralized, cooperative AI application pipelines, addressing infrastructure allocation and secure job distribution through tokenized economics.

Over the past few years, ubiquitous, or pervasive computing has gained popularity as the primary approach for a wide range of applications, including enterprise-grade systems, consumer applications, and gaming systems. Ubiquitous computing refers to the integration of computing technologies into everyday objects and environments, creating a network of interconnected devices that can communicate with each other and with humans. By using ubiquitous computing technologies, communities can become more connected and efficient, with members able to communicate and collaborate more easily. This enabled interconnectedness and collaboration can lead to a more successful and sustainable community. The spread of ubiquitous computing, however, has emphasized the importance of automated learning and smart applications in general. Even though there have been significant strides in Artificial Intelligence and Deep Learning, large scale adoption has been hesitant due to mounting pressure on expensive and highly complex cloud numerical-compute infrastructures. Adopting, and even developing, practical machine learning systems can come with prohibitive costs, not only in terms of complex infrastructures but also of solid expertise in Data Science and Machine Learning. In this paper we present an innovative approach for low-code development and deployment of end-to-end AI cooperative application pipelines. We address infrastructure allocation, costs, and secure job distribution in a fully decentralized global cooperative community based on tokenized economics.

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