Lagrangian Neural Networks
A blog by Sam Greydanus
A blog by Sam Greydanus
Physics blog quantum computation
How to manually test whether a large number is divisible by 7, 11, and 13 all at the same time.
It’s time we did a non-pandemic related newsletter issue. So this week we’ll do something more fun. Today we’re going to talk about an interesting journal article that came out two weeks ago,…
A few years ago I came across this video, showing a complex machine built entirely in Conway’s Game of Life:
The Doomsday Algorithm gives the day of the week for any date (and you can do it in your head)
A new (and better) version of the GOL computer is available here : https://github.com/nicolasloizeau/scalable-gol-computer
Today, I want to address an issue with statements involving chance. To demonstrate, let’s first consider a statement that doesn’t involve chance:
This page describes the errors that I have seen most frequently in undergraduate mathematics, the likely causes of those errors, and their remedies.
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Cache-Oblivious Algorithms Cache-oblivious algorithms seemed incredible to me when I first heard about it in 6.854 (Advanced Algorithms). It’s relatively straightforward to imagine algorithms that utilizes information about page size $B$ and cache size $M$ to create efficient data structures. However, cache-oblivious…
An explorable blog post about entropy, with sheep.
A while ago I decided to figure out how to prove one of Ramanujan’s formulas. I feel this is the sort of thing every mathematician should try at least once. I picked the easiest one I could f…
We live in interesting times. For instance, we are witnessing several extinction events all at once. One of them is the massive extinction of species. The other is the extinction of jobs. Both are …
[latexpage] 本文之中文翻譯在此 Prerequisites Trignometry Basics – Sine & CosineTrigonometry Basics – Tangent, Triangles, And CannonballsInverse Trigonometric Functions, Slope Angles, And Facing Objects Overview The dot product is a simple yet extremely useful mathematical tool. It encodes the relationship between two vectors'…
Whenever I wanted to learn Algorithms, Mathematics used there somehow seemed to be an obstacle. I admit my Math is not that good but it ain’t that bad either but this “ain’t bad&#…
From the highly eclectic blog of Mark Dominus
The Case for Bayesian Deep Learning Andrew Gordon Wilson Abstract Bayesian inference is especially compelling for deep neural networks. The key distinguishing property of a Bayesian approach is margin
Topology is the study of the properties of geometric objects which aren’t changed by continuous deformation. A standard low-grade math joke is that toplogists consider a coffee mug and a doughnut equivalent because they’re both torii—(pauses for laughter)—one can be continuously deformed into the other, called a…
There is a lot of randomness in a game of Slay the Spire. From the cards and relics offered, to the potions dropped, to the map layouts and random encounters, very little remains the same between two playthroughs. This is part of the beauty of the game, forcing you to adapt and make the most out of the resources you…
An impressive poster summarizing biochemical pathways reminds us how complex life is, and how interconnected the world is.
And how having friends makes the stalk market a lot more profitable.
The applied math classic Courant & Hilbert was banned in Nazi Germany. The US seized the copyright and published an English edition.
It’s this simple: Do you want what’s behind one door or the other nine?
(Updated 2020-09-06 with pointers to related work and a bit more explanation)