Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

Abstract Machine learning presents opportunities for tracking evidence on climate change
adaptation, including text-based methods from natural language processing. In theory, such …

The ongoing global race for bigger and better artificial intelligence (AI) systems is expected
to have a profound societal and environmental impact by altering job markets, disrupting …

Carbon capture, utilization, and sequestration (CCUS) is a promising solution to
decarbonize the energy and industrial sector to mitigate climate change. An integrated …

In recent years there has been a surge of interest in the potential of Artificial Intelligence (AI)
to address the global threat of climate change. Here, we consider climate change …

Climate change and weather-related disasters are speeded very fast in the last decades
with the consequences bringing humanity: insecurity, destructing ecological systems …

Big climate change data have become a pressing issue that organizations face with
methods to analyze data generated from various data types. Moreover, storage, processing …

Green AI refers to those AI methods that are friendly to the environment, ie, are capable to
keep the consumption of electrical energy at a minimum. In this sense, a new numerical …

Green finance can effectively support industrial upgrading and technology development,
such as artificial intelligence (AI). In this paper, we attempt to pursue the possibility of a win …

This comprehensive review explores the nexus between AI and the pursuit of net-zero
emissions, highlighting the potential of AI in driving sustainable development and combating …