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 | 8 | Subscribers | Read | someareuseful.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Measuring Social Change through Time in Embedded Text
Humans have been writing for thousands of years. Over time, our collective social cultures have shaped the way we understand the world—and in turn, the way in which this understanding is reflected in our writing. These long-term shifts in s...
Medium-Range Weather Forecasting Updates
In Medium-Range Weather Forecasting with Time- and Space-aware Deep Learning, I discussed how deep learning models are beginning to outperform traditional numerical weather forecasting (NWP) methods in terms of both accuracy and computation...
Finding Heuristics to Solve Combinatorially Complex Problems with LLMs
Many problems throughout science and technology are structured such that potential solutions to these problems are extremely efficient to evaluate, but for which finding a particularly good solution is extremely complex. These problems are ...
Medium-Range Weather Forecasting with Time- and Space-aware Deep Learning Part 4: 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...
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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