Introducing the Computational Thinking Initiative

Learn to modify audio signals using audio effects, including delay and reverberation. Notebook link: https://wolfr.am/OKVe1Ef9

Generate audio signals, from simple built-in models to a variety of complex signals.

Learn about a suite of audio analysis and visualization functions available in the Wolfram Language.

A behind-the-scenes look at how API calls to the Wolfram Cloud were used to rebuild the WolframTones interface.

A student hackathon project presentation featuring modules for music improvisation and artificial intelligence.

In this pilot episode of Live CEOing—Stephen Wolfram and teams of developers collaborate in a live, working, language design meeting.

In this presentation, Etienne Bernard, Lead Architect in the Advanced Research Group at Wolfram Research, shows functions of machine learning in the Wolfram Language. He also shows classification, feature extraction, ...

This Hands-on Start to Mathematica (Version 12) tutorial screencast provides step-by-step instruction to get you started with Mathematica. During this video, you'll learn how to enter queries through free-form input and ...

An all-encompassing set of R&D tools that uses the Wolfram Language and CDF to handle a vast array of internal calculations, workflows and data analysis techniques for the oil ...

Sports and eSports provide a challenge of communicating computational findings to people who think qualitatively. The Wolfram Language uniquely offers machine learning results, visualizations, interactive tools and cloud-deployed solutions.

This presentation employs techniques of hierarchical distance clustering and machine learning in the Wolfram Language to solve a famous and vexing problem of authorship attribution in medieval history.

This workshop is aimed at educators interested in learning more about how computer-based maths (CBM) can be introduced into their classrooms. Starting with an overview of the CBM approach to the curriculum, ...

This film discusses the techniques, and outlines the vision of the future computerization of pure mathematics through interviews and talk segments from renowned mathematicians, meta-mathematicians, computational mathematicians, and theorem provers.

Deep neural networks have become a game changer for many computer vision tasks. This quick introduction covers components of a deep learning-based application and the ease of use of the ...

This overview showcases the easy-to-use framework available in the Wolfram Language to build, modify, train and deploy neural networks.

Walk through the development of deep learning applications for the processing and analysis of images in the Wolfram Language. Real-world examples provide practical insights on how to effectively leverage neural ...

Symbolically solve boundary value problems for the classical PDEs and obtain symbolic solutions for the Schrödinger and other modern PDEs using the Wolfram Language.