October 16, 2020 — Christian Pasquel, Manager, Wolfram Research South America Connectivity
Blockchain was integrated into the Wolfram Language in 2018 with the release of Version 11.3, featuring a set of functions that is constantly improved and expanded upon by our team. Currently supporting a seamless connection to the Bitcoin, Ethereum, ARK and bloxberg mainnets, testnets and devnets, Wolfram introduced to the distributed ledger technology (DLT) space its philosophy of injecting computational intelligence everywhere through Wolfram Blockchain Labs, with the mission of enabling blockchain-based commerce and business model innovation.
October 6, 2020 — Jofre Espigule-Pons, Machine Learning
Earth has experienced five major extinctions since life first appeared almost four billion years ago. The sixth is happening right now; the current extinction rate is between one hundred and one thousand times greater than what it was before 1800.
Despite the alarming extinction rate, it’s easier than ever to document biodiversity with the help of the Wolfram Language. Using the monarch butterfly as an example, I will explore the new biodiversity data access functions in the Wolfram Function Repository and how they can help you join a community of thousands of citizen scientists from iNaturalist in preserving biodiversity.
September 17, 2020 — Hamza Alsamraee, Document & Media Systems
A few months before I accepted a Wolfram Research internship—around March—I was very fearful, and so was the majority of the world. We knew very little about the novel coronavirus, and the data was just not robust. In addition to the limited data we had, the scientific process necessarily takes time, so even that was not used to its full extent. In a world where not enough data can quickly become data overload, the question didn’t seem to be finding more data, but rather how can one extract useful and meaningful information from the available data?
A worldwide pandemic is definitely stressful, but a worldwide pandemic without accessible and computable information is much more so. Using Wolfram technologies in coordination with several internal teams, I created a Wolfram U course called COVID-19 Data Analysis and Visualization to try and cut through the informational fog and find some clarity. I saw this course as one that gives power to everyone to be able to look at data and gain insight. After all, data is knowledge, and knowledge is power.
September 11, 2020
Brad Janes, Wolfram|Alpha Math Content Manager
Peter Falloon, Data & Semantics Engineering
Jeremy Stratton-Smith, Math Developer, Wolfram|Alpha Math Content
The WolframAlpha Chemistry Team
Wolfram|Alpha Notebook Edition was released nearly a year ago, and we’re proud to share what the team has been working on since. In addition to the improvements made to Wolfram|Alpha itself, new input and output suggestions were added. There were parsing fixes, additions to the Wolfram|Alpha-to-Wolfram Language translation and some of the normal improvements one would expect. There are also some bigger features and interesting new capabilities that we will explore in a bit more detail here.
If you haven’t checked out Wolfram|Alpha Notebook Edition in a while, we’d like to invite you to revisit. With education looking a little different for many people right now, this could be a great time to explore this exciting new way to interface with Wolfram technologies.
September 4, 2020 — Mads Bahrami, Community & Content Developer, Community Advancement
This roundup of Wolfram Community contributions features several different functions and tools related to current times, from the global pandemic to sustainable spaces and homeschool puzzles. Read on to see just a few creative examples from some of our favorite Community members and Wolfram Language wizzes.
August 25, 2020 — Bob Sandheinrich, Development Manager, Document & Media Systems
While programming in the Wolfram Language, I am able to quickly and easily get results—one of the best aspects of writing code in a high-level language. The Wolfram Language is so easy to use that I have the freedom to pursue ideas on a whim, even if I know those ideas may not accomplish anything great or work toward a larger goal. In most cases, within a few minutes I figure out if the idea is a dead end. I also figure out if I am on the path to creating something useful or, better yet, fun.
August 18, 2020 — Jérôme Louradour, Machine Learning
A noteworthy achievement of artificial intelligence, since it is driven by artificial neural networks under the label deep learning, is the ability to create artistic works to generate images, text and sounds. At the core of this breakthrough is a basic method to train neural networks that was introduced by Ian Goodfellow in 2014 and was called by Yann LeCun “the most interesting idea in the last 10 years in machine learning”: generative adversarial networks (GANs). A GAN is a way to train a generative network that produces realistic-looking fake samples out of a latent seed, which can be some arbitrary data or random numbers sampled from a simple distribution. Let’s look at how to do so with some of the new capabilities developed for Mathematica Version 12.1.
July 23, 2020 — Leonardo Laguna Ruiz, Software Engineer, SystemModeler
Have you ever thought about making your own musical instruments? What about making mathematical models of your instruments? Whether you’re someone looking for a cost-effective alternative, a minimalist with dreams of maximalist sounds or a Wolfram Language enthusiast curious about sound design, you can build a virtual version of a modular synthesizer using Wolfram System Modeler.
July 9, 2020 — Toni Schindler, Wolfram|Alpha Scientific Content
Wikidata is a large, community-curated repository of freely usable data. Version 12.1 of the Wolfram Language introduced dedicated functionality to access Wikidata. We came up with a new kind of entity: a fundamental building block called ExternalIdentifier, which I’ll explain in more detail shortly.
June 23, 2020 — Christopher Carlson, Senior User Interface Developer, User Interfaces
In his blog post announcing the launch of Mathematica Version 12.1, Stephen Wolfram mentioned the extensive updates to Dataset that we undertook to make it easier to explore, understand and present your data. Here is how the updated Dataset works and how you can use it to gain deeper insight into your data.