March 8, 2018 — Stephen Wolfram
The Release Pipeline
Last September we released Version 11.2 of the Wolfram Language and Mathematica—with all sorts of new functionality, including 100+ completely new functions. Version 11.2 was a big release. But today we’ve got a still bigger release: Version 11.3 that, among other things, includes nearly 120 completely new functions.
This June 23rd it’ll be 30 years since we released Version 1.0, and I’m very proud of the fact that we’ve now been able to maintain an accelerating rate of innovation and development for no less than three decades. Critical to this, of course, has been the fact that we use the Wolfram Language to develop the Wolfram Language—and indeed most of the things that we can now add in Version 11.3 are only possible because we’re making use of the huge stack of technology that we’ve been systematically building for more than 30 years.
We’ve always got a large pipeline of R&D underway, and our strategy for .1 versions is to use them to release everything that’s ready at a particular moment in time. Sometimes what’s in a .1 version may not completely fill out a new area, and some of the functions may be tagged as “experimental”. But our goal with .1 versions is to be able to deliver the latest fruits of our R&D efforts on as timely a basis as possible. Integer (.0) versions aim to be more systematic, and to provide full coverage of new areas, rounding out what has been delivered incrementally in .1 versions.
In addition to all the new functionality in 11.3, there’s a new element to our process. Starting a couple of months ago, we began livestreaming internal design review meetings that I held as we brought Version 11.3 to completion. So for those interested in “how the sausage is made”, there are now almost 122 hours of recorded meetings, from which you can find out exactly how some of the things you can now see released in Version 11.3 were originally invented. And in this post, I’m going to be linking to specific recorded livestreams relevant to features I’m discussing.
OK, so what’s new in Version 11.3? Well, a lot of things. And, by the way, Version 11.3 is available today on both desktop (Mac, Windows, Linux) and the Wolfram Cloud. (And yes, it takes extremely nontrivial software engineering, management and quality assurance to achieve simultaneous releases of this kind.)
February 8, 2018 — Swede White, Media & Communications Specialist
It’s been an exciting beginning to the new year here at Wolfram Research with the coming release of Version 11.3 of the Wolfram Language, a soft announcement of the Wolfram Neural Net Repository and our launch of multiparadigm data science.
As part of the new year, we’re also launching some new content in the Public Relations department. As you may have seen, each month we are highlighting the accomplishments of our members on Wolfram Community. We are also recapping news and events about Wolfram each month. So, in case you missed the latest, check out these news stories:
September 14, 2017 — Stephen Wolfram
Our Latest R&D Output
It was only this spring that we released Version 11.1. But after the summer we’re now ready for another impressive release—with all kinds of additions and enhancements, including 100+ entirely new functions:
Our goal with SystemModeler is to provide a state-of-the-art environment for modeling, simulation—and analytics—that leverages the Wolfram technology stack and builds on the Modelica standard for systems description (that we helped to develop).
SystemModeler is routinely used by the world’s engineering organizations on some of the world’s most complex engineering systems—as well as in fields such as life sciences and social science. We’ve been pursuing the development of what is now SystemModeler for more than 15 years, adding more and more sophistication to the capabilities of the system. And today we’re pleased to announce the latest step forward: SystemModeler 5.
April 20, 2017 — Stephen Wolfram
After a Decade, It’s Finally Here!
I’m pleased to announce that as of today, the Wolfram Data Repository is officially launched! It’s been a long road. I actually initiated the project a decade ago—but it’s only now, with all sorts of innovations in the Wolfram Language and its symbolic ways of representing data, as well as with the arrival of the Wolfram Cloud, that all the pieces are finally in place to make a true computable data repository that works the way I think it should.
December 12, 2016 — Stephen Wolfram
Code for Everyone
Computational thinking needs to be an integral part of modern education—and today I’m excited to be able to launch another contribution to this goal: Wolfram|Alpha Open Code.
Every day, millions of students around the world use Wolfram|Alpha to compute answers. With Wolfram|Alpha Open Code they’ll now not just be able to get answers, but also be able to get code that lets them explore further and immediately apply computational thinking.
November 16, 2016 — John Fultz, Director of User Interface Technology
Wolfram Player for iOS is out of beta! You can download it from the App Store today. Learn more in this blog post.
It’s been a long road. To some degree, we’ve been working on a Wolfram notebook front end for iOS for about six years now. And in the process, we’ve learned a lot about notebook front ends, a thing we already knew a lot about. Let’s rewind the tape a bit and review.
November 4, 2016 — Zach Littrell, Technical Content Writer, Technical Communications and Strategy Group
Here are just a handful of things I heard while attending my first Wolfram Technology Conference:
- “We had a nearly 4-billion-time speedup on this code example.”
- “We’ve worked together for over 9 years, and now we’re finally meeting!”
- “Coding in the Wolfram Language is like collaborating with 200 or 300 experts.”
- “You can turn financial data into rap music. Instead, how about we turn rap music into financial data?”
As a first-timer from the Wolfram Blog Team attending the Technology Conference, I wanted to share with you some of the highlights for me—making new friends, watching Wolfram Language experts code and seeing what the Wolfram family has been up to around the world this past year.
October 25, 2016 — Patrik Ekenberg, Applications Engineer, Wolfram MathCore
Today I am excited to announce SystemModeler 4.3. This release focuses on three key areas: model analytics, collaboration and performance, which I will illustrate in this blog. You can see more on the What’s New page, or download a trial to try it yourself.
I’ll start by talking about our improvements in collaboration. I develop lots of models in SystemModeler, and when I do, I seldom develop them in a vacuum. Either I send a model to my colleagues for them to use, I receive one from them or models get sent back and forth while we work on them together. This is, of course, also true for novice users. A great way to learn how to use SystemModeler—or any product, for that matter—is to look at things other people have done, whether it be a coworker or other users online, and build upon that.
Whether you send your models to other people, receive models or send models between your own platforms, we want to make sure that you have everything you need to start using the model, straight out of the box.
As an example, I have built a model of an inverted pendulum using the PlanarMechanics library. It has a linear-quadratic regulator built using the Modelica Standard Library, and it also includes components from the ModelPlug library that connect to real-life hardware, such as actuators and sensors on an Arduino board (or any other board following the Firmata protocol).
October 18, 2016 — John Moore, Marketing and Technical Content Team Lead
This past September, we hosted our annual Wolfram Data Summit in Fairfax, Virginia. Over the past seven years, the Data Summit has come to occupy a central place at the nexus of data, computation and business. This high-level gathering of data innovators brings together people from many backgrounds and provides them the opportunity to share their challenges and breakthroughs in analyzing, managing and disseminating data.
With its emphasis on cross-pollination, the Wolfram Data Summit has emerged as an exciting place to share insight into the subtle differences and unique challenges presented by data in different domains. New and unexpected points of commonality emerge from these conversations, allowing participants to trade solutions to emergent data problems.