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Related papers: Tackling Climate Change with Machine Learning

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Solving complex optimal control problems have confronted computational challenges for a long time. Recent advances in machine learning have provided us with new opportunities to address these challenges. This paper takes model predictive…

Optimization and Control · Mathematics 2022-07-21 Weinan E , Jiequn Han , Jihao Long

This research endeavors to address the pervasive issue of light pollution through an interdisciplinary approach, leveraging data science and machine learning techniques. By analyzing extensive datasets and research findings, we aim to…

Machine Learning · Computer Science 2024-04-16 Paras Varshney , Niral Desai , Uzair Ahmed

Comprehensive global cooperation is essential to limit global temperature increases while continuing economic development, e.g., reducing severe inequality or achieving long-term economic growth. Achieving long-term cooperation on climate…

Machine Learning · Computer Science 2022-08-16 Tianyu Zhang , Andrew Williams , Soham Phade , Sunil Srinivasa , Yang Zhang , Prateek Gupta , Yoshua Bengio , Stephan Zheng

Understanding the earth's climate system and how it might be changing is a preeminent scientific challenge. Global climate models are used to simulate past, present, and future climates, and experiments are executed continuously on an array…

Global warming accelerates permafrost degradation, impacting the reliability of critical infrastructure used by more than five million people daily. Furthermore, permafrost thaw produces substantial methane emissions, further accelerating…

Machine learning plays a critical role in extracting meaningful information out of the zetabytes of sensor data collected every day. For some applications, the goal is to analyze and understand the data to identify trends (e.g.,…

Computer Vision and Pattern Recognition · Computer Science 2017-10-18 Vivienne Sze , Yu-Hsin Chen , Joel Emer , Amr Suleiman , Zhengdong Zhang

Geosciences is a field of great societal relevance that requires solutions to several urgent problems facing our humanity and the planet. As geosciences enters the era of big data, machine learning (ML) -- that has been widely successful in…

Machine Learning · Computer Science 2017-11-16 Anuj Karpatne , Imme Ebert-Uphoff , Sai Ravela , Hassan Ali Babaie , Vipin Kumar

Migration crisis, climate change or tax havens: Global challenges need global solutions. But agreeing on a joint approach is difficult without a common ground for discussion. Public spheres are highly segmented because news are mainly…

Because of the impact of extreme heat waves and heat domes on society and biodiversity, their study is a key challenge. We specifically study long-lasting extreme heat waves, which are among the most important for climate impacts. Physics…

Machine Learning · Computer Science 2022-01-14 Valérian Jacques-Dumas , Francesco Ragone , Pierre Borgnat , Patrice Abry , Freddy Bouchet

Climate adaptation is vital for the sustainability and sometimes the mere survival of our urban areas. However, small cities often struggle with limited personnel resources and integrating vast amounts of data from multiple sources for a…

Computer Vision and Pattern Recognition · Computer Science 2025-12-17 Martin Röhn , Nora Gourmelon , Vincent Christlein

Climate change is one of the most critical challenges that our planet is facing today. Rising global temperatures are already bringing noticeable changes to Earth's weather and climate patterns with an increased frequency of unpredictable…

Atmospheric and Oceanic Physics · Physics 2024-01-19 Karandeep Singh , Chaeyoon Jeong , Naufal Shidqi , Sungwon Park , Arjun Nellikkattil , Elke Zeller , Meeyoung Cha

Machine Learning approaches are good in solving problems that have less information. In most cases, the software domain problems characterize as a process of learning that depend on the various circumstances and changes accordingly. A…

Software Engineering · Computer Science 2015-06-26 Saiqa Aleem , Luiz Fernando Capretz , Faheem Ahmed

Machine learning algorithms can now outperform classic economic models in predicting quantities ranging from bargaining outcomes, to choice under uncertainty, to an individual's future jobs and wages. Yet this predictive accuracy comes at a…

Theoretical Economics · Economics 2025-08-27 Annie Liang

In the times we live in today, humanity faces unprecedented environmental challenges. The emergence of artificial intelligence (AI) has opened new doors in our collective efforts to address our planet's pressing problems; however, many have…

Theoretical Economics · Economics 2025-06-23 Van Khanh Pham , Minh Le

Given the importance of public support for policy change and implementation, public policymakers and researchers have attempted to understand the factors associated with this support for climate change mitigation policy. In this article, we…

Other Statistics · Statistics 2020-03-24 Romit Maulik , Junghwa Choi , Wesley Wehde , Prasanna Balaprakash

With the increasing urgency of climate change's impacts and limited success in reducing emissions, "geoengineering," or the artificial manipulation of the climate to reduce warming rates, has been proposed as an alternative short-term…

Physics and Society · Physics 2024-12-06 Felipe de Bolle , Egemen Kolemen

A successful response to climate change needs vast investments in low-carbon research, energy, and sustainable development. Governments can drive research, provide environmental regulation, and accelerate global development, but the…

Physics and Society · Physics 2018-09-26 Anthony J. Webster

Transportation facilities are becoming more developed as society develops, and people's travel demand is increasing, but so are the traffic safety issues that arise as a result. And car accidents are a major issue all over the world. The…

Machine Learning · Computer Science 2022-06-24 Sri Siddhartha Reddy Gudemupati , Yen Ling Chao , Lakshmi Praneetha Kotikalapudi , Ebrima Ceesay

Climate change is a far-reaching, global phenomenon that will impact many aspects of our society, including the global stock market \cite{dietz2016climate}. In recent years, companies have increasingly been aiming to both mitigate their…

Computation and Language · Computer Science 2020-11-18 Alexandra Luccioni , Emily Baylor , Nicolas Duchene

To address the urgent challenge of climate change, there is a critical need to transition away from fossil fuels towards sustainable energy systems, with renewable energy sources playing a pivotal role. However, the inherent variability of…

Machine Learning · Computer Science 2024-04-05 Alvaro Carbonero , Shaowen Mao , Mohamed Mehana
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