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Geoengineering: Can (and Should) Humanity Engineer Its Way Out of Environmental Crisis?

A World on Fire The planet is dying. Dramatic statements like this have become commonplace in public discourse, news headlines, and even government debates. But what exactly is killing the planet? There are many ways to answer this question, but climate change is often the first response. Nearly every day, news reports surface of ravenous wildfires tearing across North America, polar ice sheets splitting from their shelves and sinking into the ocean, or studies showing yet another rise in global temperatures. Faced with these seemingly apocalyptic conditions, what are we supposed to do? After all, if the billions, if not […]

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Can Regenerative Farming Realistically Replace Traditional Farming and Feed the World?

Regenerative farming is often portrayed as an idealistic alternative to conventional agriculture. However, it has major scientific, economic, and social foundations that make it a realistic and scalable path toward global food security, provided it receives sufficient investment, policy support, and innovation. Regenerative agriculture seeks to rebuild soil health, increase biodiversity, and reduce reliance on synthetic inputs like fertilizers. This method of farming creates a more resilient and sustainable food system. Some critics argue that yields may decline or that scaling such systems is impractical. Yet these objections overlook the major inefficiencies in modern agriculture and the potential that regenerative […]

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Sustainability in Generative AI: Why we Need Clean Computing

Abstract: What is Generative AI? The concept of generative artificial intelligence and terms like “AI” have gained an unprecedented level of hype as well as misunderstanding in the past few years; “AI” has become an all-encompassing buzzword to describe complex concepts varying from lengthy analysis of medical data to the generation of memes. But what is it? In a sentence, generative artificial intelligence is the output achieved from complex webs of probability-reliant algorithms called neural networks, designed on the basis of the human brain. When trained with massive amounts of data, these neural networks have the capability to produce human-like […]

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