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Wolfram is the company where computation meets knowledge. A leader in scientific and technical innovation, Wolfram continues to build toward a future where sophisticated computation and knowledge-based programming are universally accessible. Combined, the new Wolfram Language, Wolfram Engine and Wolfram Cloud will make possible a computable model of the world—in essence, a global brain. Wolfram is the creator of Mathematica, the world’s foremost technical computing program; Wolfram|Alpha, the widely used computable knowledge engine; and the Computable Document Format (CDF), the interactive core technology behind digital content offerings by all major STEM publishers. Computation. Knowledge. Content. Interaction. Infrastructure.

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In the Media

Wolfram|Alpha at 10

Published May 18, 2019

The Wolfram|Alpha Story

Today it’s 10 years since we launched Wolfram|Alpha. At some level, Wolfram|Alpha is a never-ending project. But it’s had a great first 10 years. It was a unique and surprising achievement when it first arrived, and over its first decade it’s become ever … »

Announcing the Wolfram Client Library for Python

Published May 16, 2019

Get Full Access to the Wolfram Language from Python

The Wolfram Language gives programmers a unique computational language with an enormous array of sophisticated algorithms and built-in real-world knowledge. For many years, people have asked us how to access all the power of our technology from other software environments and … »

What We’ve Built Is a Computational Language (and That’s Very Important!)

Published May 9, 2019

What Kind of a Thing Is the Wolfram Language?

I’ve sometimes found it a bit of a struggle to explain what the Wolfram Language really is. Yes, it’s a computer language—a programming language. And it does—in a uniquely productive way, I might add—what standard programming languages do. But that’s only … »

Neural Networks: An Introduction

Published May 2, 2019

If you haven’t used machine learning, deep learning and neural networks yourself, you’ve almost certainly heard of them. You may be familiar with their commercial use in self-driving cars, image recognition, automatic text completion, text translation and other complex data analysis, but you can also train your own neural nets … »



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