Artificial intelligence for geoscience: Progress, challenges and perspectives
This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …
traditional physics-based models to modern data-driven approaches facilitated by significant …
[HTML][HTML] Unsupervised machine learning in urban studies: A systematic review of applications
Unsupervised learning (UL) has a long and successful history in untangling the complexity
of cities. As the counterpart of supervised learning, it discovers patterns from intrinsic data …
of cities. As the counterpart of supervised learning, it discovers patterns from intrinsic data …
A prolonged artificial nighttime-light dataset of China (1984-2020)
Nighttime light remote sensing has been an increasingly important proxy for human
activities. Despite an urgent need for long-term products and pilot explorations in …
activities. Despite an urgent need for long-term products and pilot explorations in …
Machine learning and phone data can improve targeting of humanitarian aid
The COVID-19 pandemic has devastated many low-and middle-income countries, causing
widespread food insecurity and a sharp decline in living standards. In response to this crisis …
widespread food insecurity and a sharp decline in living standards. In response to this crisis …
[HTML][HTML] A future for the world's children? A WHO–UNICEF–Lancet Commission
H Clark, AM Coll-Seck, A Banerjee, S Peterson… - The Lancet, 2020 - thelancet.com
Executive summary Despite dramatic improvements in survival, nutrition, and education over
recent decades, today's children face an uncertain future. Climate change, ecological …
recent decades, today's children face an uncertain future. Climate change, ecological …
Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data
Remote sensing and automatic earth monitoring are key to solve global-scale challenges
such as disaster prevention, land use monitoring, or tackling climate change. Although there …
such as disaster prevention, land use monitoring, or tackling climate change. Although there …
[HTML][HTML] The role of artificial intelligence in achieving the Sustainable Development Goals
The emergence of artificial intelligence (AI) and its progressively wider impact on many
sectors requires an assessment of its effect on the achievement of the Sustainable …
sectors requires an assessment of its effect on the achievement of the Sustainable …