In this presentation, you will see how data provides new avenues and connections to physical modeling with the new support for neural networks in system modeling. Applications and examples will ...

This talk covers the latest models added to the Wolfram Neural Net Repository covering areas like natural language processing, computer vision, and audio analysis. Come learn about the functionalities and ...

We propose and implement a novel algorithm using monodromy to solve large systems of analytic nonlinear equations. This work was done during my internship at Wolfram Research, Inc., Calculus and ...

This talk explores the diverse range of computable knowledge about biology available in Wolfram language. This includes updates to standardized dinosaur datasets, the latest taxonomic data collections and access to ...

In this Wolfram Technology Conference presentation, Pradipto Ghosh and Bob Sandheinrich demonstrate a series of examples showing how to model, analyze, design, and simulate controls systems with Mathematica.

This talk covers new upcoming chemistry functionality for Wolfram Language, including enhancements for molecular visualization and new data structures to represent crystal structures and large biomolecules. In addition, the ChemistryFunctions ...

In our study of nonlinear Signal-flow graphs we used the software Mathematica to obtain evidence about new combinatorial identities. Eventually we proved those identities.

This talk presents a new approach to fractional order integro-differentiation, possible thanks to a newly published function in the Wolfram Function Repository---ResourceFunction ["FractionalOrderD"].