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.
December 7, 2017 — Jon McLoone, Director, Technical Communication & Strategy
Computation is no longer the preserve of science and engineering, so I thought I would share a simple computational literary analysis that I did with my daughter.
November 30, 2017 — Vitaliy Kaurov, Academic Director, Wolfram Science and Innovation Initiatives
When Does a Word Become a Word?
“A shot of expresso, please.” “You mean ‘espresso,’ don’t you?” A baffled customer, a smug barista—media is abuzz with one version or another of this story. But the real question is not whether “expresso” is a correct spelling, but rather how spellings evolve and enter dictionaries. Lexicographers do not directly decide that; the data does. Long and frequent usage may qualify a word for endorsement. Moreover, I believe the emergent proliferation of computational approaches can help to form an even deeper insight into the language. The tale of expresso is a thriller from a computational perspective.
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.
November 14, 2017 — Stephen Wolfram
A Powerful Way to Express Ideas
People are used to producing prose—and sometimes pictures—to express themselves. But in the modern age of computation, something new has become possible that I’d like to call the computational essay.
I’ve been working on building the technology to support computational essays for several decades, but it’s only very recently that I’ve realized just how central computational essays can be to both the way people learn, and the way they communicate facts and ideas. Professionals of the future will routinely deliver results and reports as computational essays. Educators will routinely explain concepts using computational essays. Students will routinely produce computational essays as homework for their classes.
Here’s a very simple example of a computational essay:
November 9, 2017 — Devendra Kapadia, Kernel Developer, Algorithms R&D
Here are 10 terms in a sequence:
And here’s what their numerical values are:
But what is the limit of the sequence? What would one get if one continued the sequence forever?
Limits are a central concept in many areas, including number theory, geometry and computational complexity. They’re also at the heart of calculus, not least since they’re used to define the very notions of derivatives and integrals.
Mathematica and the Wolfram Language have always had capabilities for computing limits; in Version 11.2, they’ve been dramatically expanded. We’ve leveraged many areas of the Wolfram Language to achieve this, and we’ve invented some completely new algorithms too. And to make sure we’ve covered what people want, we’ve sampled over a million limits from Wolfram|Alpha.
November 8, 2017 — Christopher Carlson, Senior User Interface Developer, User Interfaces
The One-Liner Competition is a tradition at our annual Wolfram Technology Conference, which took place at our headquarters in Champaign, Illinois, two weeks ago. We challenge attendees to show us the most impressive effects they can achieve with 128 characters or fewer of Wolfram Language code. We are never disappointed, and often surprised by what they show us can be done with the language we work so hard to develop—the language we think is the world’s most powerful and fun.
This year’s winning submissions included melting flags, computer vision and poetry. Read on to see how far you can go with just a few characters of Wolfram Language code…
October 10, 2017 — Etienne Bernard, Lead Architect, Advanced Research Group
Automated Data Science
Imagine a baker connecting a data science application to his database and asking it, “How many croissants are we going to sell next Sunday?” The application would simply answer, “According to your recorded data and other factors such as the predicted weather, there is a 90% chance that between 62 and 67 croissants will be sold.” The baker could then plan accordingly. This is an example of an automated data scientist, a system to which you could throw arbitrary data and get insights or predictions in return.
One key component in making this a reality is the ability to learn a predictive model without specifications from humans besides the data. In the Wolfram Language, this is the role of the functions Classify and Predict. For example, let’s train a classifier to recognize morels from hedgehog mushrooms:
October 4, 2017 — John Fultz, Director of User Interface Technology
Ten months ago, I announced the beginning of our open beta program for Wolfram Player for iOS. The beta is over, and we are now shipping Wolfram Player in the App Store. Wolfram Player for iOS joins Wolfram CDF Player on Windows, Mac and Linux as a free platform for sharing your notebook content with the world.
Wolfram Player is the first native computational notebook experience ever on iOS. You can now take your notebooks with you and play them offline. Wolfram Player supports notebooks running interfaces backed by Version 11.1 of the Wolfram Language—an 11.2 release will come shortly. Wolfram Player includes the same kernel that you would find in any desktop or cloud release of the Wolfram Language.
Microscopes were invented almost four hundred years ago. But today, there’s a revolution in microscopy (as in so many other fields) associated with computation. We’ve been working hard to make the Wolfram Language a definitive platform for the emerging field of computational microscopy.
It all starts with getting an image of some kind—whether from a light or x-ray microscope, transmission electron microscope (TEM), confocal laser scanning microscope (CLSM), two-photon excitation or a scanning electron microscope (SEM), as well as many more. You can then proceed to enhance images, reconstruct objects and perform measurements, detection, recognition and classification. At last month’s Microscopy & Microanalysis conference, we showed various examples of this pipeline, starting with a Zeiss microscope and a ToupTek digital camera.