Advancing Symbolic Regression for Earth Science with a Focus on Evapotranspiration Modeling
9 Articles
9 Articles
Advancing symbolic regression for earth science with a focus on evapotranspiration modeling
Artificial Intelligence (AI) assumes a pivotal role in Earth science, leveraging deep learning’s predictive capabilities. Despite its prevalence, the impact of AI on scientific discovery remains uncertain. In Earth sciences, the emphasis extends beyond mere accuracy, striving for groundbreaking discoveries with distinct physical properties essential for driving advancements through thorough analysis. Here, we introduce a novel knowledge-guided d…
Environmental scientists wrestle with AI’s potential climate impact versus benefits
An Arizona State University climate tech project uses AI to provide water conservation information and suggestions for responsible water use via a simple, personable chatbot called “Blue.” (Screenshot of azwaterbot.org)Environmental scientists and conservationists have been slow to embrace artificial intelligence tools, in large part because of the enormous amount of electricity the technology demands. But that, some say, is slowly changing as …


Environmentalists say they’re cautious to adopt AI into their work
An Arizona State University climate tech project uses AI to provide water conservation information and suggestions for responsible water use via a simple, personable chatbot called “Blue.” (Screenshot of azwaterbot.org)Environmental scientists and conservationists have been slow to embrace artificial intelligence tools, in large part because of the enormous amount of electricity the technology demands. But that, some say, is slowly changing as …
Environmental scientists wrestle with AI’s potential climate impact v…
An Arizona State University climate tech project uses AI to provide water conservation information and suggestions for responsible water use via a simple, personable chatbot called “Blue.” (Screenshot of azwaterbot.org)Environmental scientists and conservationists have been slow to embrace artificial intelligence tools, in large part because of the enormous amount of electricity the... Source link
The Innovation vs Sustainability Paradox: The Case of AI
Introduction / Our Research Question The world is changing quickly. Generative AI and data centers are growing fast. They are meant to help with sustainability and progress. However, their energy use and material needs could actually harm global climate goals. For example, some estimates suggest that data centers in the United States could use up to 8.6% of the country’s electricity by 2035. This is mostly because of AI workloads, which can use …
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