CYAILGMLDec 21, 2018

Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact

arXiv:1812.10398v21 citations
Originality Synthesis-oriented
AI Analysis

It addresses the problem of leveraging ML for sustainable development in underserved regions, but is incremental as it is a workshop summary without new research.

This paper compiles proceedings from a workshop focused on applying machine learning to address challenges in developing countries, aiming to achieve sustainable impact through collaborative discussions and presentations.

This is the Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact, held in Montreal, Canada on December 8, 2018

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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