Article on Nature outlining a framework for mathematicians to use #MachineLearning to discover insights. with case studies in knot theory + representation theory:
This is an award that is presented each year during Maths Week #Ireland – the annual all-island festival of maths and numeracy, which is currently running with events across the country and online."
Just thought of signal boosting the Azimuth Project: https://www.azimuthproject.org/azimuth/show/HomePage
It's pretty amusing that a big part of Matt Parker's legacy is having "Parker" being synonymous with being "almost correct" or a "near miss" (with big help from Brady Haran), to the point of being referenced in an actual maths preprint
Another video from Matt Parker, this time exploring the squircle (particularly the shape defined by |𝑥|⁴+|𝑦|⁴=1) and the complications from trying to work out its area, featuring some lemniscate biscuits, and a *lot* of interactions between different versions of himself
The classic discussion on whether #mathematics exists in our reality for us to discover, or exists only as man-made inventions to describe said reality (among others), is once again explored in this panel discussion (with a 10+ minute intro from moderator Brian Greene)
Newest Numberphile video features Tom Crawford breaking down an approach to an ex-Oxford Admissions Question: given the task of completely filling up a square with N non-overlapping rectangles of any size (not necessarily all uniform), as long as each rectangle has one side twice the length of the other, for which values of N is this task possible?
From /r/math: "what is the most enraging/funniest 'how is this useful' question someone has asked you?" https://www.reddit.com/r/math/comments/oqruxh/mathematicians_if_reddit_what_is_the_most/
"...we obtain the first consistent mathematical description of multiple wave dynamics and its inter-wave strolling regime. Our results are tested and calibrated against the #COVID19 pandemic data. Because of the simplicity of our approach that is organized around symmetry principles, our discovery amounts to a paradigm shift in the way epidemiological data are mathematically modelled."
Not really sticking to any particular kind of note-taking system/ideology (e.g. Zettelkasten), instead focusing on just generating the content and saving the refactoring for later
Dabbling with yet another #PKMS: Obsidian (#ObsidianMD) also does the whole note linking + graphs + tags, but at least there's a free desktop client extendable by plugins, and I could do my own free syncing + versioning: https://obsidian.md/
Currently incorporated some notes from previous online courses + using it for ongoing notes for a training program, but will probably try redoing notes for past uni modules + outlining books/articles
Math prof Jordan Ellenberg, author of How Not To Be Wrong, just did a Reddit AMA: