December 14, 2017 — Michael Gammon, Blog Administrator, Document and Media Systems

The Wolfram Community group dedicated to visual arts is abound with technically and aesthetically stunning contributions. Many of these posts come from prolific contributor Clayton Shonkwiler, who has racked up over 75 “staff pick” accolades. Recently I got the chance to interview him and learn more about the role of the Wolfram Language in his art and creative process. But first, I asked Wolfram Community’s staff lead, Vitaliy Kaurov, what makes Shonkwiler a standout among mathematical artists.

Stereo Vision Rise Up

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November 20, 2017 — Jon McLoone, Director, Technical Communication & Strategy

The classic board game Risk involves conquering the world by winning battles that are played out using dice. There are lots of places on the web where you can find out the odds of winning a battle given the number of armies that each player has. However, all the ones that I have seen do this by Monte Carlo simulation, and so are innately approximate. The Wolfram Language makes it so easy to work out the exact values that I couldn’t resist calculating them once and for all.

Risk battle odds flow chart

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June 22, 2017 — Andrew Steinacher, Wolfram|Alpha Developer, Wolfram|Alpha Scientific Content

Completed reportPlot 3D animation

When I first started driving in high school, I had to pay for my own gas. Since I was also saving for college, I had to be careful about my spending, so I started manually tracking how much I was paying for gas in a spreadsheet and calculating how much gas I was using. Whenever I filled my tank, I kept the receipts and wrote down how many miles I’d traveled and how many gallons I’d used. Every few weeks, I would manually enter all of this information into the spreadsheet and plot out the costs and the amount of fuel I had used. This process helped me both visualize how much money I was spending on fuel and manage my budget.

Once I got to college, however, I got a more fuel-efficient car and my schedule got a lot busier, so I didn’t have the time to track my fuel consumption like this anymore. Now I work at Wolfram Research and I’m still really busy, but the cool thing is that I can use our company technology to more easily accomplish my automotive assessments.

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March 2, 2017 — Håkan Wettergren, Applications Engineer, SystemModeler (MathCore)

Until now, it has been difficult for the average engineer to perform simple vibration analysis. The initial cost for simple equipment, including software, may be several thousand dollars—and it is not unusual for advanced equipment and software to cost ten times as much. Normally, a vibration specialist starts an investigation with a hammer impact test. An accelerometer is mounted on a structure, and a special impact hammer is used to excite the structure at several locations in the simplest and most common form of hammer impact testing. The accelerometer and hammer-force signals are recorded. Modal analysis is then used to get a preliminary understanding of the behavior of the system. The minimum equipment requirements for such a test are an accelerometer, an impact hammer, amplifiers, a signal recorder and analysis software.

I’ve figured out how to use the Wolfram Language on my smartphone to sample and analyze machine vibration and noise, and to perform surprisingly good vibration analysis. I’ll show you how, and give you some simple Wolfram Language code to get you started.

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February 23, 2017 — Michael Trott, Chief Scientist

And How Many Animals, Animal Heads, Human Faces, Aliens and Ghosts in Their 2D Projections?

Introduction

In my recent Wolfram Community post, “How many animals can one find in a random image?,” I looked into the pareidolia phenomenon from the viewpoints of pixel clusters in random (2D) black-and-white images. Here are some of the shapes I found, extracted, rotated, smoothed and colored from the connected black pixel clusters of a single 800×800 image of randomly chosen, uncorrelated black-and-white pixels.

arpimals

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January 31, 2017 — Michael Gammon, Blog Administrator, Document and Media Systems

Black and white logogram

If aliens actually visited Earth, world leaders would bring in a scientist to develop a process for understanding their language. So when director Denis Villeneuve began working on the science fiction movie Arrival, he and his team turned to real-life computer scientists Stephen and Christopher Wolfram to bring authentic science to the big screen. Christopher specifically was tasked with analyzing and writing code for a fictional nonlinear visual language. On January 31, he demonstrated the development process he went through in a livecoding event broadcast on LiveEdu.tv.

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January 17, 2017 — Jofre Espigule-Pons, Consultant, Technical Communications and Strategy Group

Muhammad Ali (born Cassius Marcellus Clay Jr.; January 17, 1942–June 3, 2016) is considered one of the greatest heavyweight boxers in history, with a record of 56 wins and 5 losses. He remains the only three-time lineal heavyweight champion, so there’s no doubt why he is nicknamed “The Greatest.”

I used the Wolfram Language to create several visualizations to celebrate his work and gain some new insights into his life. Last June, I wrote a Wolfram Community post about Ali’s career. On what would have been The Greatest’s 75th birthday, I wanted to take a minute to explore the larger context of Ali’s career, from late-career boxing stats to poetry.

First, I created a PieChart showing Ali’s record:

bouts = <|"TKO" -> 21, "KO" -> 11, "UD" -> 18, "RTD" -> 5, "SD" -> 1,     "LUD" -> 2, "LSD" -> 2, "LRTD" -> 1|>; PieChart[bouts, ChartStyle -> 24,   ChartLabels ->    Placed[{Map[Style[#, Bold, FontSize -> 14] &, Values[bouts]],      Map[Style[#, FontFamily -> "Helvetica Neue", Bold,         FontSize -> 16] &, Keys[bouts]]}, {"RadialCenter",      "RadialCallout"}], PlotRange -> All,   SectorOrigin -> {Automatic, 1},  ChartLegends -> {"Technical Knockout", "Knockout",     "Unanimous Decision", "Retired", "Split-Decision",     "Lost - Unanimous Decision", "Lost - Split-Decision",     "Lost - Retired"},   PlotLabel ->    Style["Ali's Record", Bold, FontFamily -> "Helvetica Neue",     FontSize -> 22], ImageSize -> 410]
Ali's Record

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January 13, 2017 — Nick Lariviere, Kernel Developer, Core Mathematica Engineering

This post originally appeared on Wolfram Community, where the conversation about reliable cars continues. Be sure to check out that conversation and more—we can’t wait to see what you come up with!

For the past couple of years, I’ve been playing with, collecting and analyzing data from used car auctions in my free time with an automotive journalist named Steve Lang to try and get an idea of what the used car market looks like in terms of long-term vehicle reliability. I figured it was about time that I showed off some of the ways that the Wolfram Language has allowed us to parse through information on over one million vehicles (and counting).

Vehicle Class Quality Index Rating

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January 3, 2017 — John Moore, Marketing and Technical Content Team Lead

Story image collage

It’s been a busy year here at the Wolfram Blog. We’ve written about ways to avoid the UK’s most unhygienic foods, exciting new developments in mathematics and even how you can become a better Pokémon GO player. Here are some of our most popular stories from the year.

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December 28, 2016 — Kathryn Cramer, Technical Communications and Strategy Group

When looking through the posts on Wolfram Community, the last thing I expected was to find exciting gardening ideas.

The general idea of Ed Pegg’s tribute post honoring Martin Gardner, “Extreme Orchards for Gardner,” is to find patterns for planting trees in configurations with constraints like “25 trees to get 18 lines, each having 5 trees.” Most of the configurations look like ridiculous ideas of how to plant actual trees. For example:

One of Pegg's orchard plans

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