Climate Algorithmic Edge (eBook)

Azhar Ul Haque Sario (Autor)

eBook Download: EPUB

2025
201 Seiten
Azhar Sario Germany (Verlag)
978-3-384-54997-6 (ISBN)

Infos

Imagine a world where AI sharpens our fight against climate change—this is the heart of Climate’s Algorithmic Edge. Picture this: a journey kicking off in the 1950s with NOAA’s clunky computers crunching weather data, morphing into today’s slick AI predicting typhoons in Japan or boosting wind farms in Spain by 20%. This book unpacks how AI’s clever tools—like neural networks and machine learning—tackle everything from solar panel upkeep in India to slashing methane in Denmark’s dairy farms. It’s not just tech talk; it’s real stories, like Brazil’s AI steadying its green grid or Iceland’s cod stocks thriving thanks to smart monitoring. We dig into AI forecasting sea level rise for Dutch flood defenses, optimizing EV range in China, and even spotting koalas in Australia with drones.

But it’s not all smooth sailing—think data biases in Africa or ethical hiccups with GDPR. This isn’t a rosy tech utopia; it’s a gritty look at AI’s wins and stumbles, from recycling wizardry in Sweden to wildfire alerts in Greece. We’ll explore AI designing energy-smart buildings in Singapore, locking carbon in Iceland’s basalt, and shaping UN climate talks. It’s about value too—new green jobs in India, cost savings in Denmark, and a peek at quantum AI’s future. Climate’s Algorithmic Edge isn’t just a book—it’s a front-row seat to how AI rewires our planet’s future, one optimized solution at a time.

Produkt-Details

• Erscheint lt. Verlag: 9.3.2025
• Sprache: englisch
• Themenwelt: Sachbuch/Ratgeber ► Gesundheit / Leben / Psychologie ► Lebenshilfe / Lebensführung
• Themenwelt: Sachbuch/Ratgeber ► Natur / Technik ► Natur / Ökologie
• Schlagworte: AI climate solutions • biodiversity AI tools • carbon capture AI • climate change technology • climate prediction models • green transportation AI • machine learning environment • renewable energy AI • sustainable agriculture AI • waste management AI
• ISBN-10: 3-384-54997-X / 338454997X
• ISBN-13: 978-3-384-54997-6 / 9783384549976