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Is PyTorch and PyTorch Geometric supposed to take over an hour to install? … tick tick tock and it’s still running …
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Better than the best low-rank approximation with the SVD.
It’s February 29th 2024, Gene Golub’s 23rd birthday. Time to do an SVD and talk to a junior colleague. But don’t do a silly SVD example–learn how to level-up your SVD. Using the SVD. (This is a link to YouTube – go watch it!)
That’s right, you can actually use the SVD itself to do better approximations of data. The key is to reorganize your data. For images, this means using little tiles.
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Dump of a few older things from Science
Apologies, I forgot to record the
Soil to Foil I’ve added this book to my reading list. Really interesting book (and I later read it. The end gets a little bit boring, but it’s still worth reading for the history on aluminum)
If the results of Liu et al. hold up, thermoelectric materials should be an interesting area to watch in the next few years. These would give better ways to cool things down, which is important in power-dense electronics.
The meta-diary of the Meta+outside analysis of the election is riveting and well-written, and ultimately critical of the effort.
Just like humans have microbiomes, so do trees, and these make a difference to what happens when the tree is stressed by the environment. Treating this microbiome gives another way to improve tree growth and probably plant growth.
Standard caveat with Science. These are results are cherry-picked among all the research and consequently have a bias towards incorrect results from the selection process – thus, extra skepticism is warranted.
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