The November-December 2022 issue of Water Resources IMPACT features a fascinating 2-page article by Xiang Li and John L. Nieber on 'The Rise of Machine Learning in Hydrology'. John is the Guest Editor of this issue.
No, it's not another chapter in 'The Terminator' franchise. More interesting and useful.
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A paragraph to whet your appetite for this subject. Click on the graphic to enlarge it.
Since 2015 AlphaGo and its successor programs have defeated human Go professionals using artificial intelligence. AlphaGo was developed to test how well a neural network using deep learning can compete at the game Go and other board games, such as chess, without being taught the rules. The tremendous growth in AI, machine learning (ML), and big data has opened a new era, sometimes called the Fourth Industrial Revolution. From the targeting of more effective business advertisements to the greater accuracy of live captions on the media, ML has fundamentally changed the way we live and work. Now data scientists, computer scientists, and hydrologists are coming together to use ML to advance our understanding of hydrological systems.
The authors.
Their emails and bios are at the end of the article.
Last one of 2022!
Enjoy!
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