Wolfram Computation Meets Knowledge

News, Views & Insights

Date Archive: 2021 April

Announcements & Events

Introducing Wolfram Application Server

Wolfram Application Server is a new platform developed by Wolfram Research enabling customers to deploy Wolfram Language–powered APIs and webpages into a scalable, highly available enterprise cluster.

Wolfram Application Server lets you:

manage data exchange in your deployments with a robust external services framework. create applications using the Wolfram Natural Language Understanding (NLU) System, the key semantic interpretation technology behind Wolfram|Alpha and Wolfram Language. generate content based on time and location, assign custom endpoints and integrate curated content from the Wolfram Knowledgebase.

We have designed Wolfram Application Server for customers who for regulatory, security or business reasons may not wish to deploy onto the Wolfram Cloud but prefer to host their Wolfram Language applications on clusters they control.

Andrew de Laix, Director of Distributed Systems Engineering
Announcements & Events

The Wolfram Physics Project:
A One-Year Update

When we launched the Wolfram Physics Project a year ago today, I was fairly certain that—to my great surprise—we’d finally found a path to a truly fundamental theory of physics, and it was beautiful. A year later it’s looking even better. We’ve been steadily understanding more and more about the structure and implications of our […]

Stephen Wolfram
Announcements & Events

Static Analysis Tools in the Wolfram Language

Catching Common Problems

Finding bugs and fixing them is more than a passion of mine—it’s a compulsion. Several years ago, as a QA developer, I created the MUnit unit testing framework for the Wolfram Language, which is a framework for authoring and running unit tests in the language. Since then, I’ve created more tools to help developers write better Wolfram Language code while seamlessly checking for bugs in the process.

Writing good tests requires a lot of knowledge and a great deal of time. Since we need to be able to test and resolve bugs as quickly as possible in order to release new features on schedule, we turn to static analysis to be able to do so.

Brenton Bostick, Senior Kernel Developer, Compiler Development