The Berlin Wall Fell 30 Years Ago. Where Did It Go?
Evolution of the Scrollbar
And the Verge review: https://www.theverge.com/2019/11/1/20943552/scroll-bar-visual-history-30-years
> Sébastien Matos has built a fantastic interactive trip through the history of one of the most important UI elements we encounter every day: the scroll bar. He’s recreated, as faithfully as possible, 30 years of scroll bars from some of the top desktop platforms of their day, from Xerox Star to Windows 10.
> Take a minute out of your busy day to enjoy the zen of playing with old UI design. Then come back here and read The Verge’s very serious review of scroll bars through history.
Signed distance fields
> It would be fun, I thought, to be able to specify the desired cross-sections, and have something generate the required 3D shape (if it existed) in real-time.
> Dealing with all of the details of creating a mesh with the right vertices etc. sounded painful though. Fortunately, I had been reading recently about a different kind of 3D rendering technique which makes these kind of boolean operations trivial – signed distance fields.
Factorio New pathfinding algorithm
> A simple choice for this function is simply the straight-line distance from the node to the goal position – this is what we have been using in Factorio since forever, and it’s what makes the algorithm initially go straight. It’s not the only choice, however – if the heuristic function knew about some of the obstacles, it could steer the algorithm around them, which would result in a faster search, since it wouldn’t have to explore extra nodes. Obviously, the smarter the heuristic, the more difficult it is to implement.
> The simple straight-line heuristic function is fine for pathfinding over relatively short distances. This was okay in past versions of Factorio – about the only long distance pathfinding was done by biters made angry by pollution, and that doesn’t happen very often, relatively speaking. These days, however, we have artillery. Artillery can easily shoot – and aggro – massive numbers of biters on the far end of a large lake, who will then all try to pathfind around the lake. The video below shows what it looks like when the simple A* algorithm we’ve been using until now tries to go around a lake.
Incenters of chocolate-iced cakes
> Grandma made a cake whose base was a square of size 30 by 30 cm and the height was 10 cm. She put chocolate icing on top of the cake and on the sides, but not on the bottom. She wanted to divide the cake fairly among her 9 grandchildren so that each child would get an equal amount of the cake and the icing. How should she cut the cake?
Apple’s New Map, Expansion #5 Northeast U.S.
The usual before and after analysis.
Where Theory Meets Chalk, Dust Flies
> A photo survey of the blackboards of mathematicians.
> For the last year, Jessica Wynne, a photographer and professor at the Fashion Institute of Technology in New York, has been photographing mathematicians’ blackboards, finding art in the swirling gangs of symbols sketched in the heat of imagination, argument and speculation. “Do Not Erase,” a collection of these images, will be published by Princeton University Press in the fall of 2020.
Visual Information Theory
> Information theory gives us precise language for describing a lot of things. How uncertain am I? How much does knowing the answer to question A tell me about the answer to question B? How similar is one set of beliefs to another? I’ve had informal versions of these ideas since I was a young child, but information theory crystallizes them into precise, powerful ideas. These ideas have an enormous variety of applications, from the compression of data, to quantum physics, to machine learning, and vast fields in between.
> Unfortunately, information theory can seem kind of intimidating. I don’t think there’s any reason it should be. In fact, many core ideas can be explained completely visually!
The Enigma Machine
> The Enigma Machine was one of the centerpoints of World War II, and its cryptanalysis was one of the stepping stones from breaking codes as an art to cryptography as a science. The machine encrypted messages sent between parts of the German army – operators would type a key on its keyboard, the machine would scramble that, and a letter would light up on the top.
> This notebook simulates an Enigma Machine and visualizes how it works. The Enigma Machine is an especially neat thing to visualize because it was electromechanical. As you used it, it moved. Instead of circuit traces, it had beautiful real wires connecting its pieces.
An introduction to D3.js
> So, you want to create amazing data visualizations on the web and you keep hearing about D3.js. But what is D3.js, and how can you learn it? Let’s start with the question: What is D3? While it might seem like D3.js is an all-encompassing framework, it’s really just a collection of small modules.
The scramble to secure America’s voting machines
> Paperless voting devices are a gaping weakness in the patchwork U.S. election system, security experts say. But among these 14 states and their counties, efforts to replace these machines are slow and uneven, a POLITICO survey reveals.
Very annoying scroll interaction at the top, but eventually some content appears.
> A whole mangrove forest, lighting up all at once, plunging into darkness, then lighting up all again – in near-perfect synchrony. How do thousands of fireflies coordinate with each other? Who is the conductor of this silent symphony?
The Atlas of Moons
> Our solar system collectively hosts nearly 200 known moons, some of which are vibrant worlds in their own right. Take a tour of the major moons in our celestial menagerie, including those that are among the most mystifying—or scientifically intriguing—places in our local neighborhood.
Pretty heavy web page.
Movie plots, visualized.
Urbano Monte’s Massive Map of the Earth (1587)
> In 1587, Urbano Monte made the largest known early map of Earth. The map consists of 60 panels that were meant to be assembled into a planisphere (a circular map that rotates about a central axis) measuring 10 feet across. The David Rumsey Map Center recently acquired a manuscript of Monte’s map and digitally assembled all 60 pieces into the full map (inlined above but click through to zoom/pan).
The Marvelous Mississippi River Meander Maps
> Fisk’s maps represent the memory of a mighty river, with thousands of years of course changes compressed into a single image by a clever mapmaker with an artistic eye. Looking at them, you’re invited to imagine the Mississippi as it was during the European exploration of the Americas in the 1500s, during the Cahokia civilization in the 1200s (when this city’s population matched London’s), when the first humans came upon the river more than 12,000 years ago, and even back to before humans, when mammoths, camels, dire wolves, and giant beavers roamed the land and gazed upon the river.
This map shows the most commonly spoken language in every US state, excluding English and Spanish
> English is, unsurprisingly, the most commonly spoken language across the US, and Spanish is second most common in 46 states and the District of Columbia. So we excluded those two languages in the above map.
Weight Agnostic Neural Networks
> Not all neural network architectures are created equal, some perform much better than others for certain tasks. But how important are the weight parameters of a neural network compared to its architecture? In this work, we question to what extent neural network architectures alone, without learning any weight parameters, can encode solutions for a given task. We propose a search method for neural network architectures that can already perform a task without any explicit weight training. To evaluate these networks, we populate the connections with a single shared weight parameter sampled from a uniform random distribution, and measure the expected performance. We demonstrate that our method can find minimal neural network architectures that can perform several reinforcement learning tasks without weight training. On supervised learning domain, we find architectures that can achieve much higher than chance accuracy on MNIST using random weights.
Some fun demos.
507 Mechanical Movements
> This is an online edition of the classic technical reference Five Hundred and Seven Mechanical Movements by Henry T. Brown.
> This site contains the original illustrations and text from the 21st edition of the book, published in 1908. It also includes animated versions of the illustrations, and occasional notes by the webmaster.
Motorbikes in Taiwan. 3:27.