Guidelines on the environmental efficiency of machine learning processes in supply chain management |
|
Supplement 42 to ITU-T L-series Recommendations provides guidelines on the environmental efficiency of machine learning (ML) processes in supply chain management. This guidance document is intended to support machine learning researchers and operators to measure and improve the environmental efficiency of ML, and other emerging technologies (e.g., blockchain, big data, 5G, etc.) use in supply chain management.
|
|
|
|
Title |
Approved on |
Download |
Partnering for solutions: ICTs in Smart Water Management
|
2014
|
here
|
Resilient pathways: the adaptation of the ICT sector to climate change
|
2014
|
here
|
Greening ICT Supply Chains – Survey on Conflict Minerals Due Diligence Initiatives
|
2012
|
here
|
Review of Mobile Handset Eco-Rating Schemes
|
2012
|
here
|
Boosting Energy Efficiency through Smart Grids
|
2012
|
here
|
|