Some Are Useful
Tom GebhartA living literature review on how ideas from machine learning and artificial intelligence are influencing scientific and technological progress.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 5 | Subscribers | Read | someareuseful.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Medium-Range Weather Forecasting with Time- and Space-aware Deep Learning Part 3: Transformers and Beyond
This is the fourth post in a series on deep learning-based methods in medium-range weather forecasting. Part one discussed the history and foundational theory of numerical weather prediction (NWP). Part two discussed some of the issues with...
Medium-Range Weather Forecasting with Time- and Space-aware Deep Learning Part 3: Graph Neural Network Forecasts
This is the third post in a series on deep learning-based methods in medium-range weather forecasting. Part one discussed the history and foundational theory of numerical weather prediction (NWP). Part two discussed some of the issues with ...
Medium-Range Weather Forecasting with Time- and Space-aware Deep Learning Part 2: Towards AI Weather Prediction
This is the second post in a series on deep learning-based methods in medium-range weather forecasting. You can find part one of the series here. If you’d like to read the entire article in its full form, it is posted here.
How Much New Knowledge is Hidden in Scientific Text?
> Imagine that the pieces of a puzzle are independently designed and created, and that, when retrieved and assembled, they then reveal a pattern-undesigned, unintended, and never before seen, yet a pattern that commands interest and invites...
Authors
The writers behind this newsletter.
Research Scientist at the University of Minnesota. I study how knowledge is acquired, structured, and employed by machines, humans, and other collective organizations.
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