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John Snow & the Birth of Epidemiology Data Analysis & Visualization

In 1854, there was a major cholera outbreak in Soho, a neighborhood in London that Judith Summers described as full of “cow-sheds, animal droppings, slaughterhouses, grease-boiling dens and primitive, decaying sewers.” At the time, the cause of the outbreak was unknown because germ theory was still being developed and disease transmission was not well understood. Miasma theory was the dominant hypothesis, and it proposed that diseases, including cholera and the plague, were spread by foul gasses emitted from decomposing organic matter.
Roman Parker, Community Advancement Mads Bahrami, Academic Innovation Support
Education & Academic

Using Neural Networks to Boost Student Learning in Chemistry

I attended the Wolfram Neural Networks Boot Camp 2020, and that inspired me to incorporate elements of data science and machine learning in my course. The helper functions for machine learning make it quite easy to experiment and introduce such applications to students. We chose to perform image recognition and classification problems that are routinely used to initiate the topics of both neural networks and machine learning.
Arun Sharma, Guest Author
Current Events & History

The Singular Euler–Maclaurin Expansion A New Twist to a Centuries-Old Problem

Of all mathematical operations, addition is the most basic: It’s what we learn first in school. Historically, it is the most ancient. While the simple task of getting the sum of two numbers is simple, sums of many numbers can easily turn into a challenging numerical problem if the number of summands is very large.

Andreas A. Buchheit, Guest Author Torsten Keßler, Guest Author
Education & Academic

Class Notes, Quizzes and Weather Alerts with Mathematica and the Wolfram Language

Using Wolfram technologies has always been a part of my working process—from asking Wolfram|Alpha questions in college to using the Wolfram Cloud to set up reminders and forms in my everyday work. Nowadays, I think about the ways that our users can employ our technologies. I like to build on things that I perhaps should have used to improve my efficiency during my time as a student or faculty member, or even for tasks outside of work in my day-to-day life.
Santiago Camacho, Academic Key Account Manager, Sales & Services
Best of Blog

Launching Version 12.3 of Wolfram Language & Mathematica

Look What We Made in Five Months!

It’s hard to believe we’ve been doing this for 35 years, building a taller and taller tower of ideas and technology that allow us to reach ever further. In earlier times we used to release the results of efforts only every few years. But in recent times we’ve started doing incremental (“.1”) releases that deliver our latest R&D achievements—both fully fleshed out, and partly as “coming attractions”—much more frequently.

We released Version 12.2 on December 16, 2020. And today, just five months later, we’re releasing Version 12.3. There are some breakthroughs and major new directions in 12.3. But much of what’s in 12.3 is just about making Wolfram Language and Mathematica better, smoother and more convenient to use. Things are faster. More “But what about ___?” cases are handled. Big frameworks are more completely filled out. And there are lots of new conveniences.

There are also the first pieces of what will become large-scale structures in the future. Early functions—already highly useful in their own right—that will in future releases be pieces of major systemwide frameworks.

Stephen Wolfram
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