June 16, 2020 — Dariia Porechna, Cryptography and Blockchain, Wolfram Language Development
Cryptography functionality in the Wolfram Language has been growing significantly ever since it was originally released in Version 10.1. In the latest release, we added support for generation and verification of digital signatures for expressions, files and cloud objects; you can encrypt or digitally sign anything—from simple messages to images or code. In order to maintain our users’ security and safety, we base our algorithms on OpenSSL libraries. While OpenSSL normally requires a great deal of experience to use, integration with the Wolfram Language has made it simple.
June 2, 2020 — Paritosh Mokhasi, Kernel Developer, Algorithms R&D
Sudoku is a popular game that pushes the player’s analytical, mathematical and mental abilities. Solving sudoku problems has long been discussed on Wolfram Community, and there has been some fantastic code presented to solve sudoku problems. To add to that discussion, I will demonstrate several features that are new to Mathematica Version 12.1, including how this game can be solved as an integer optimization problem using the function LinearOptimization, as well as how you can generate new sudoku games.
May 19, 2020 — Shadi Ashnai, Manager of Sound & Vision, Algorithms R&D
Version 12.1 of the Wolfram Language introduces the long-awaited Video object. The Video object is completely (and only) out-of-core; it can link to an extensive list of video containers with almost any codec. Most importantly, it is bundled with complete stacks for image and audio processing, machine learning and neural nets, statistics and visualization and many more capabilities. This already makes the Wolfram Language a powerful video computation platform, but there are still more features to explore.
May 6, 2020 — Tigran Ishkhanyan, Algorithms R&D
Mathematica was initially built to be a universal solver of different mathematical tasks for everything from school-level algebraic equations to complicated problems in real scientific projects. During the past 30 years of development, over 250 mathematical functions have been implemented in the system, and in the recent release of Version 12.1 of the Wolfram Language, we’ve added many more, ranging from the elementary Sin function to the advanced Heun functions.
March 30, 2020 — Brian Van Vertloo, Document Technology Manager, Document & Media Systems
The Wolfram Language is the culmination of decades of effort, supporting all our products. One reason the Wolfram Language is so easy to use is the Wolfram Language & System Documentation Center—unique in that it contains reference information along with tens of thousands of examples that can be edited and run in place (or quickly copied from the web to your notebook).
We recently released Version 12.1 of the Wolfram Language, and with it, a number of new documentation features and page types. With every release, you’ll find an increasing scope of functionality, examples and use cases documented for different fields and applications, presented with an intuitive, user-friendly design.
Today, the world around us is being captured by imaging devices ranging from cell phones and action cameras to microscopes and telescopes. With ever-increasing generation of images, image processing and automatic image analysis are used in a wide range of individual, academic and industry applications.
We are excited to announce Introduction to Image Processing, a free interactive course from Wolfram U, which makes cutting-edge image processing simple with graphical and visual examples that demonstrate how image operations work. It includes 14 video lessons, each lasting 20 minutes or fewer, and 5 short quizzes, as well as a certificate for finishing all course materials. Topics range from how to control brightness and contrast or crop and resize images, to advanced topics including segmentation, image enhancement, feature detection and using machine learning to perform modern image processing—no machine learning knowledge necessary!
January 16, 2020 — Jamie Peterson, Technical Programs Manager, Wolfram U
Looking to fulfill your New Year’s resolution of learning new data science skills? Join Wolfram U for Wolfram Technology in Action: Data Science, a three-part web series demonstrating a range of data science applications in the Wolfram Language. These 90-minute sessions feature recorded talks from the 2019 Wolfram Technology Conference, along with live presentations by Wolfram staff scientists, application developers, software engineers and Wolfram Language users who apply the technology every day to their business operations and research.
Newcomers to Wolfram technology are welcome, as are longtime users wanting to see the latest functionality in the language.
November 5, 2019 — Anthony Zupnik, Kernel Developer, Compiler Development
Microsoft Excel is among the most popular tools in the world. For non-technical and advanced users aspiring to extend beyond Excel’s built-in feature set, we’re proud to announce the easiest and most productive tool for doing so: Wolfram CloudConnector for Excel, now available to anyone running Excel on a Windows system. You can access the advanced computational power of the Wolfram Language for your data directly from your spreadsheets.
August 29, 2019 — Jan Poeschko, Cloud Development
A couple weeks ago, we released Version 1.51 of the Wolfram Cloud. We’ve made quite a few significant functionality improvements even since 1.50—a major milestone from many months of hard work—as we continue to make cloud notebooks as easy and powerful to use as the notebooks on our desktop clients for Wolfram|One and Mathematica. You can read through everything that’s new in 1.51 in the detailed release notes. After working on this version through to its release, I’m excited to show off Wolfram Cloud 1.51—I’ve put together a few of the highlights and favorite new features for you here.
August 15, 2019 — Abrita Chakravarty, Training and Development Specialist, Wolfram U
A few weeks back, we announced Wolfram U’s latest open online course: Multiparadigm Data Science (MPDS). This course gives a hands-on introduction to basic concepts of data science through a multiparadigm approach—using various types of data, modern analytical techniques, automated machine learning and a range of interfaces for communicating your data science results. Our goal is to increase your understanding of data science while allowing you to take advantage of multiparadigm insights—whether you’re a newcomer working on a simple problem or an expert using well-established methods.
As the content creator and instructor, I’d like to provide some background on myself and my approach to the MPDS course. Beyond doing data science, I’ve found that multiparadigm principles make both teaching and learning more effective. In this post, I’ll give insight to the design of the course—the main goals, what topics are included and how to use the built-in interactivity to get the most out of your experience.