Artificial Intelligence and Systems of the Earth

Artificial Intelligence and Systems of the Earth is a book about the potential and capabilities of Artificial Intelligence and Machine Learning for studying the Earth. It aims to serve as an eye-opener on new avenues of scientific research that can be enabled by AI/ML and acts as a "what if" book, rather than a "how to" book.

List of contents

1. Introduction. 2. AI refresher. 3. Current and future applications of AI in Earth-related sciences. 4. AI and challenges in Earth-related sciences. 5. AI hardware and quantum computing. 6. Why believe AI? The role of machine learning in science. 7. Generative AI. 8. Causal models: AI that asks 'why' and 'what if'. 9. Conclusion.

About the author

Michel Speiser is Chief Data Scientist at the International Centre for Earth Simulation (ICES Foundation) in Geneva, Switzerland. He strives to bring the advantages of AI and Machine Learning to bear on Earth Systems Modeling, Simulation & Visualization. He spent over six years at IBM Research, pushing the limits of data science, and unlocking the value hidden in large, complex data, drawing on techniques in probabilistic and statistical modeling, Machine Learning and Data Mining, and developing new tools and methods as needed. Michel holds a PhD in Information Systems and Operations Research (ETH Zurich), and Master’s degrees in Computer Science (EPFL), Complex Systems (Chalmers University of Technology), and Mathematical Sciences (EPFL).

Summary

Artificial Intelligence and Systems of the Earth is a book about the potential and capabilities of Artificial Intelligence and Machine Learning for studying the Earth. It aims to serve as an eye-opener on new avenues of scientific research that can be enabled by AI/ML and acts as a "what if" book, rather than a "how to" book.

Product details

• Authors: Michel Speiser
• Publisher: Taylor and Francis
• Languages: English
• Product format: Hardback
• Released: 18.10.2024
• EAN: 9781032710501
• ISBN: 978-1-032-71050-1
• No. of pages: 96
• Weight: 340 g
• Illustrations: schwarz-weiss Illustrationen, farbige Illustrationen, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig
• Subjects: Natural sciences, medicine, IT, technology > Geosciences; Data Mining, Artificial Intelligence, SCIENCE / Earth Sciences / General, TECHNOLOGY & ENGINEERING / Automation, Artificial Intelligence (AI), Earth Sciences, Automatic control engineering, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics