Wolfram Computation Meets Knowledge

Wolfram Virtual Technology Conference 2023

Thank you to all attendees and speakers for making the Wolfram Virtual Technology Conference a success!


Tentative schedule. Subject to change.

All presentations will be recorded and posted to the conference platform for on-demand viewing.

Wednesday, November 1

What's New in Wolfram Image & Audio?

Shadi Ashnai, Markus van Almsick

The Wolfram Compiler

Tom Wickham-Jones

What's New in Wolfram Video?

Carlo Giacometti

AI-Based Environmentally Sustainable Cardiovascular Disease Diagnostic

Sahithi Cherukuri

This reusable LSTM-based household diagnostic decreases misdiagnoses of CVDs (the cause of 32% of deaths) and can reduce thousands of tons of medical waste daily. The 83.8% diagnosing accuracy and 93.3% overall functionality show promise in detecting various diseases and creating a cleaner world.

New in System Modeler

Ankit Naik, Jan Brugard

State of the Front End

John Fultz

File Formats Any Data Scientist Cares About

Piotr Wendykier, Sean Cheren

TBD FE Assets

Ian Hojnicki

Bridging System Modeler with Finite Element Analysis

Oliver Ruebenkoenig, Vedat Senol

Documents and Exchange Formats

Sean Cheren, Santiago Campo Cotes

Modeling Fighters and Drones Using System Modeler

Atefeh Esmaeilzadeh Rostam, Erick Espinosa Juarez, Jan Brugard

State of the Cloud

John Pacey

Everything Chess with the Wolfram Chess Paclet

Rafal Chojna, Jay Warendorff

Tame Your Data—Constrained Spline Regression

Harald Biller

The Wolfram System's recent advances in disciplined convex programming are applied to a multi-objective optimization problem: find a cubic spline function with small data distance and curvature. We add positivity, monotonicity and convexity constraints, which we express as norm cone constraints.

New Developments in Wolfram Chemistry

Jason Biggs

This talk will introduce 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 paclet will be presented, with functions for dynamically manipulating molecular structure, enhanced substructure matching and visualization, as well as dynamic controls and predicate functions.

Neural Network Research with Wolfram Language

Ian Wright

Wolfram Language provides an advanced framework for rapidly prototyping neural network applications and exploring research ideas. In this talk, I demonstrate the language features that helped me develop a novel neural network that learns compact non-differentiable Boolean functions.

What's New in Chemical Education?

Jason Sonnenberg, Camilo Castrillon-Toro


Stephen Wolfram

Upgrading Epidemiological Models into War Models

Anton Antonov

In this presentation we discuss how both theoretical and software engineering constructs made for epidemiological compartmental models (ECMs) can be "upgraded" into war system dynamics (SD) models. Several types of analogies are drawn, both operational and economic. The most interesting is the turning of a geo-spatial-temporal ECM into a war SD model. The presentation uses numerous "big picture" workflow diagrams and breakdowns. Concrete models are demonstrated and explained.

Astrophotography Image Processing Workflows

Tom Sherlock

The complex imaging workflow associated with astrophotography can be automated using Wolfram Language's intrinsic image processing and statistical data manipulation functionality. Astronomical imaging involves taking a sequence of exposures that have to be calibrated, aligned, stacked, denoised and then stretched to obtain any sort of image. Color imaging involves following this pipeline for each of three or four color channels that then are combined to form the final image. This talk illustrates this workflow with galaxy images taken in May of 2023 from a light-polluted location in Urbana, Illinois. The image of M101 also shows a supernova SN 2023ixf that was discovered the week prior.

A Modern Course in Mathematical Methods for the Physical Sciences Using Mathematica

Peter Taborek

I will describe our experience at the University of California, Irvine, teaching mathematical methods to physical science students at the undergraduate and graduate level. The classes utilize an ebook text that is a collection of Mathematica notebooks. The classes are paperless: the assignments are written in Mathematica notebooks, and the students do their work and submit a notebook. For the undergraduate version, we are experimenting with a web interface that automatically grades reasonably complicated symbolic input using calls to Wolfram Cloud APIs.

Workshop: Book Publishing with Wolfram Language

Paige Vigliarolo

Learn about book publishing using Wolfram Language. We'll explain our various programs for supporting authors working to publish both with Wolfram Media and with other publishers. A brief demonstration of the WolframBookTools palette for authoring will be given. We will leave time for Q&A.

LLM Functions

Christopher Wolfram

Generating Training Data for LLM Fine Tuning

Jofre Espigule-Pons

Wolfram Quantum Framework

Mads Bahrami, Nik Murzin

The Wolfram Prompt Repository

Eli Lichtblau

TBD: Astronomy

Tom Sherlock

LLMTools and the LLMTool Repository

Bob Sandheinrich

More on Astronomy: Eclipses

Jose Martin-Garcia, Jeffrey Bryant

Mancala: Multiway Analysis and Building a Game GUI in Wolfram Language

Bob Nachbar

Mancala is a two-player board game known from antiquity and has many variations of play worldwide. We studied the most common North American version known as Kalah. The traditional board consists of six pits, each containing four seeds, and an empty store for each player, and the objective is to capture the greatest number of seeds (one's own and the opponent's) in one's store by moving them from one of the pits and sowing them in succeeding pits and the player's store. The game involves both counting and strategy, as the rules allow extra turns. We made use of game graphs and the tools of multiway analysis to understand how the complexity and "fairness" of the game changes as the board configuration and choice of rules are varied. As the score determines the winner, we also examined how early in the game a win can be forced. Two of the tools we used to study mancala were a function to display the game board for any given state of play and another function to sow the seeds from a selected pit and follow the rules for capture and extra turns. It was then a simple matter of turning the displayed board into a dynamic interface for two players that permitted a fully interactive game to be developed.

Tech Consulting EdTech Efforts

Anshu Manik

Thursday, November 2

Wolfram Repository Updates: Paclets, Functions, Examples, Prompts, Tools and More

Brad Ashby

Developments in Code-Building Tools

Jeremy Stratton-Smith

Over the past years, we have developed several tools for actually building code representing objects that are often easier to think about without looking at syntax—for example, GeometricScenes and Entities, which both are powerful tools in Wolfram Language, but require involved syntax in order to be specific enough to work as functions. In this talk, we will give an overview of these new functionalities and discuss the ways these tools will make advanced Wolfram Language functionality accessible to newcomers and a younger audience, and are prime examples of the flexibility of the notebook interface.

Wolfram AI in Medical Imaging: Prostate Cancer Detection

Peter Riley

Wolfram AI platform is used in medical imaging at Deakin for its ease of use with non-programmer students and staff. Successful research projects include DNN detection and staging of COVID-19 from chest x-rays, and the detection and localisation of prostate cancer in magnetic resonance diffusion images.

What's New in Calculus & Algebra?

Devendra Kapadia

New Additions in the Neural Net Repository

Maria Sargsyan

Calibration and Validation of System Models

Sergio Vargas

Finite Fields and Their Applications

Adam Strzebonski

Paclet Repository: One Year In

Bob Sandheinrich

CUDA and Wolfram Language

Tom Wickham-Jones

Computational Number Theory in the Modern World

Alejandra Ortiz-Duran

New Algorithms: Numerical Solution of Large Systems of Nonlinear Equations NSolve by Monodromy

Aravind Baskar

Using the Wolfram Stack and LLM Tech to Combat Misinformation on the SDGs and ESG

Maureen Baehr, Ben Kickert

Misinformation and other attacks on the Sustainable Development Goals and ESG investing have increased dramatically in the past year. We use new Wolfram LLM tech as well as other core functionality—entities, WebSearch, Wikipedia, WebSessions—to build tools that help address these issues.

Innovator Award Ceremony

Use of Mathematica in Some Studies about Structural Dynamics

Juan-Antonio López-Aragón

Improvements in the Quantity Framework

Nick Lariviere

Symbolic Computations and Dynamic Visualisation in Robotics Research and Education

Sandipan Bandyopadhyay

Robotics, as an area of teaching and research, can be fascinating and intimidating at the same time. The kinematics of robots involve formulating and solving systems of algebraic or trigonometric equations. Their dynamics and control require derivation and analysis of coupled nonlinear ordinary differential equations. These computations can be so demanding that they may impact the students' motivations to learn. They also pose great challenges to researchers in their efforts to make fresh contributions to this field. In this context, a robust and powerful computer algebra system such as Wolfram Mathematica can be the best friend of a teacher or a researcher. The speaker has spent 16 years in the first role and nearly 25 years in the second. During this time, he has developed several symbolic codes to solve benchmark problems in the field of parallel manipulators. He has also created computational workflows and demonstrations which aid the students at Indian Institute of Technology Madras to analyse and understand complex behaviours of robotic systems with much greater ease and confidence. In this talk, the speaker will share a few of these developments.

Chat Notebooks Basics

Theo Gray

Structured Arrays

Jan Mangaldan

Enhancing Hands-on Learning Using Mathematica: A Case of Investment Analysis

Ramesh Adhikari

Mathematica is a powerful computing environment that was initially used in mathematics and physics, but is now gaining popularity in various disciplines. It offers numerous built-in functions for financial computations, simulation, optimization, risk management and forecasting. Despite its capabilities, it is not widely used in financial data analytics. The presentation demonstrates the use of important built-in financial functions and custom functions for financial data analytics using real-world financial data. Examples cover various finance topics, and all results are reproducible without modifications.

Advanced Chat Notebook Use

Richard Hennigan

Hypergeometric Functions: From Euler to Appell and Beyond

Tigran Ishkhanyan

Calculus and Control Systems

Aram Manaselyan

Visualization Overview

Brett Champion

Machine Learning for Real-Time Hydrate Risk

Andrew Yule

This talk will discuss how the advanced neural network framework within Wolfram Language was used to train and develop a model built from simulation-based data that went on to be used for real-time monitoring of hydrate formation risk at an LNG (liquified natural gas) facility.

Matrix Computation in Wolfram Language

Itai Seggev

Query: A Functional Programming Construct

Seth Chandler

This presentation demystifies the Query function for the intermediate user and shows how users at all levels can effectively use it as a functional programming construct. It draws from parts of the author's new Wolfram Media book, Query: Getting Information from Data with the Wolfram Language.

Interactive Highlighting

MinHsuan Peng

Automated Planar Geometry in Wolfram Language

Dan McDonald, Peter Barendse, Xiaofan Zhang

We present updates to the automated geometric functionality of Wolfram Language, including such existing system functions as GeometricScene, RandomInstance and FindGeometricConjectures, as well as such resource/future functions as FindGeometricProof and GeometricSolveValues.

Tabular Data Visualization

Nirmal Malapaka

Advanced Graphics with Shader Graphs

Alec Shedelbower

Beyond the Basics of Graphs & Networks

Jaebum Jung

Workshop: Computational Thinking, LLMs and the Future of Education

Mads Bahrami, John McNally, Yi Yin

TBD: Graphics

Yuzhu Lu

QuestionObject Updates: Math Assessment, LLMs and More

Bob Sandheinrich

Advanced Geometry with Splines

Charles Pooh

TBD: Graphics

James Lane

Data Science: Exploring Relational Database Objects Visually with Mathematica GUI and SQL

Daniel Carvalho

Mathematica and Wolfram Language can connect to basically every open or commercial database out there—relational (SQL) or NoSQL flavors too. From small to big companies, they have relational database management systems to support CRM, ERP and other enterprise systems. Lots of that data is just sitting there waiting to be explored with a multiparadigm data science approach. Interesting patterns can be found in business data and can be combined with Wolfram-curated data and internet-available datasets too. We will show how to build visual GUI tools to connect to relational databases and navigate visually on database objects.

A Family of Rational Zeta Series

Eric Dolores-Cuenca

Rational zeta series are series in which the n summand is a rational multiplied by a zeta value. We give close formulas to compute a family of these series. Currently no software can reproduce our results.

visX Is a Visual Interface to Wolfram Language

Nicholas Hoff

Most Wolfram Language programs consist of a set of functions, each of which transforms its inputs into outputs, which are then "plugged into" each other to create a nested directed acyclic graph. I will present an alternate front end that lets users work with this graph directly in a zoomable map-like interface.

Friday, November 3

The Future of API Integration

Giulio Alessandrini

This talk introduces the significant enhancements in the upcoming redesign of the ServiceConnections framework. Discover a streamlined process for creating new API connections, with features such as automatic request generation and response parsing, automatic parameter completion and verification, and versatile authentication methodologies. Join us for a technical deep dive into the next wave of API integration.

TBD: TableView/TabularInterface

Jason Abernathy

Modeling Electromagnetics

Sebastian Garcia-Sarmiento

Modeling Hyperelastic Material

Alessandro Mastrofini

XAI: A Model to Explain StyleGANs

Bart ter Haar Romeny

StyleGAN (Style Generative Adversarial Network) is a type of generative model capable of generating realistic images. It is not trivial to explain what happens inside. In this computational essay, I propose an explanation based on active shape and appearance models.

Beyond the Computational Essay

Ronald Monson

Many terrific computational stories start out as notebooks, but less commonly do they evolve into compelling, ongoing narratives. Why is this? The challenge of extending computational essays into robust computational systems often presents as a step too far. But is it?

Rubi: Solving Integrals, One Rule at a Time

Patrick Scheibe

Symbolic integration, a cornerstone of computational mathematics, traditionally relies on intricate algorithms to find antiderivatives. Rubi, a rule-based integrator, takes a different and unique approach. Instead of algorithms, Rubi uses thousands of human-readable mathematical rules, systematically applied, to determine integrals. This method provides more transparent integration steps and often yields simpler and more accurate results than traditional means. In this talk, we'll delve into the world of Rubi, exploring its potential and comparing it to conventional integrators.

TBD: Typesetting

Jason Harris

Discovering Wolfram Food through AI

Isabel Skidmore, Tommy Peters, Gay Wilson

This talk will cover the use of LLMs and AI in enhancing Wolfram's built-in food data. We will show examples of how to use Chat Notebooks and the Wolfram ChatGPT plugin to retrieve nutrition data and analyze it. We will demonstrate how LLMs can transform recipe text into structured datasets in Wolfram Language from which we can generate graphs. We will also demonstrate new Wolfram Function Repository functions for food that can be easily used by chatbots to complete tasks for the user.

TBD: UX Talk

Noah Hardwicke

Modeling Fluid Dynamics

Oliver Ruebenkoenig

Adventures in NotebookTemplating: Report Generation in the Real World

Anthony Zupnik

NotebookTemplating is a paclet for creating repeatable documents using templates. This talk will give a brief overview of how the paclet works, focusing more on how Wolfram and other companies have used report generation for better workflows.

Exploring Historical Geology with Wolfram Language

Jeffrey Bryant

Reconstructions of the geological history of the Earth can be carried out using a number of tools in Wolfram Language. GeoGraphics, EntityValue and the Wolfram Function Repository provide a variety of tools that aid in exploring historical geology and will all be investigated in this presentation.

Wolfram R&D Live: Watch, Connect and Promote Your Work

Keren Garcia


Patrick Scheibe

Connect and Publish

Sean Cheren

Visual Creation & One-Liner Award Ceremony

Galileo and the Squaring of Time

Alexander Garron

Imagine Galileo and Descartes collaborated on the art of falling. Galileo proffered time as range, making space as domain arbitrary. Domain fall rate not of fixed meter presented a challenge. They used algebraic tiles to discover uniform acceleration spacetime. I use their first-second tile to construct our first central force spacetime square inquiry.

Exploring Species in Wolfram Language

Keiko Hirayama

New taxonomic species data collections encompass ecological, geographical as well as biological knowledge of living organisms including animals, plants, fungi and other microorganisms. With the new hierarchical entity type syntax, one can access general taxonomic information of species as well as categorized characteristics of organisms specific to each kingdom of life. Improved data lookup support allows in-depth exploration of diversity of life. 

Solving Physics Problems with Schrödinger's Equations

Ricardo Lopez

Computational Tools for Blockchain Forensics

Alec Macher, Piero Sanchez

Computational Number Theory in the Modern World

Lusine Sukiasyan

Pioneering the Future of Oil Production with Wolfram Technologies

Jacob Warthen

Discover UpLift, a next-generation gas lift simulator crafted in System Modeler V13.3 and enhanced by Mathematica. Beyond petroleum engineering, UpLift offers a deep dive into real-world oil production scenarios using authentic well data. Experience the future of simulation, bridging technology and nature.

Modern Notebook Diffing

Lou D'Andria

Tetrahedron Center Functions

Ed Pegg

In a recent Community post, tools for calculating a hundred thousand tetrahedron centers were used to make an animation. For this talk, a dozen new geometry tools for both 2D and 3D spaces will be discussed.

Protein Visualization in Wolfram Language

Soutick Saha

Protein visualization plays a pivotal role in understanding the intricate world of biomolecular structures. In this talk, I will discuss protein visualization in Wolfram Language, with a specific focus on the chemistry-related functionalities and applications of the Wolfram ProteinVisualization paclet. Additionally, I will share examples illustrating how this paclet can be effectively utilized in both education and research.

Fehrian Branches or: How I Learned to Reduce y = x^2 + 1 and Love Mathematica

Atsushi Miyazawa

Visual schematic representations have built concrete intuition and aid in intuitive comprehension. Despite the enormous progress that modern abstract geometry has made since the late nineteenth century, the property of concentric circles—where they touch each other at the imaginary circular points at infinity—is still described as STRANGE in geometry books published in the twenty-first century. Some mathematicians may argue, "Since equations prove a theorem is correct, we do not mind if the visuals are incomplete or unavailable in the first place." However, a tradition dating back to the Greek era dictates that we describe the existence of a mathematical object geometrically and only consider it a mathematical reality when a purely geometric interpretation becomes possible. Even today, intuitive ways to grasp various facts and problems in mathematics are becoming increasingly vital. Presenting imaginary and infinitely distant elements using Mathematica's advanced pattern matching and rewriting capabilities should contribute to a correct understanding of complex geometry for many people, not just specialists.

Meet-up: Game Focused

Bob Nachbar, Brad Klee

Wolfram|Alpha Spanish

Francisco Javier Rodríguez Arias

Workshop: LLM Tech

Giulio Alessandrini, Timothee Verdier, Bob Sandheinrich, Christopher Wolfram, Avery Davis, Connor Gray

SIR Model Analysis: Case Study of Hong Kong Flu

Athanasios Paraskevopoulos

Exploring the SIR model's utility in understanding infectious diseases, this study delves into its fundamentals and application. Using the 1960s Hong Kong flu outbreak in NYC as a case study, it highlights the model's role in disease dynamics and intervention measures.

Integral Transforms through Mellin–Barnes integration

Oleg Marichev, Paco Jain

3D Game Development in Wolfram Language

Kevin Daily

Wolfram Technologies on iOS, iPadOS and visionOS

Rob Raguet-Schofield, Nick Zitzmann

Graph Rewriting for Lattice Topological Invariants

Sinuhé Perea

We are going to study finite lattice systems in the context of simple rewriting rules: based on discrete manifolds and Cayley graphs, in this project we look for the set and taxonomy of simple rewriting rules that preserve certain properties that can later be understood as conserved measurable magnitudes of a physical system, like the Brouwer degree or winding number. By investigating those toy models about field configurations of discrete fiber bundles, we will later apply local perturbations to a field configuration, looking for discrete analogs to Noether's theorem. Furthermore, via coloured graphs, with this approach we will aim to characterise (energetically stable) physical-inspired systems in the context of many-particle quantum finite distributions in highly symmetric arrays or low-dimensional spin-like states as domain wall in magnetization theory, being local solutions of minimal information configurations. Even mesoscopic scale is responsible for exotic topological defects; with this discretization, we will try to understand the computational first-principle mechanism that allows nontrivial winding numbers and the material and geometries to host pseudo-particle structures like skyrmions, bubbles or merons. We think that this inductive reasoning here would offer a valuable approach for finding new phenomena or even reinterpreting old ones.

The Art of Problem Solving in Wolfram Language '23

Shenghui Yang

This year I will continue my problem-solving style shown in '22 and demonstrate the problem-solving skills in these four domains: geometry, combinatorics, number theory and algebra/analysis. I have selected couple of problems and examples from the following published resources:
R. Honsberger's From Erdös to Kiev: Problems of Olympia Caliber (or related Crux volumes)
M. H. Weissman's An Illustrated Theory of Numbers
S. Savchev and T. Andreescu's Mathematics Miniatures
R. Stanley's Enumerative Combinatorics

Wolfram Language's built-in functions and Wolfram Function Repository resources have a unique charm to make the exploration of the solutions very expressive. It is critical to see the connection between the "Aha!" moment and solid examples generated by Wolfram Language. It is my wish for all my audience to enjoy the talk and start their own journeys of solving challenging problems with Wolfram Language.

Integrating LLM into Wolfram Workflows: Process and Analyze Sustainable Development Data Efficiently

Ben Kickert, Maureen Baehr

This presentation outlines how the Wolfram technology stack can be utilized to create workflows that maximise the potential of emerging large language models such as OpenAI's GPT, Google's Palm, Meta's LLaMA and more. Special attention will be paid to processing and analyzing large unstructured data such as those present in Sustainable Development Goal reports or conference video collections. This demonstration builds on previous presentations by the authors to highlight new technologies while emphasizing familiar methodology. Specific topics covered include:
*Overview of tools and options available to Wolfram users
*The pros and cons of various methods for accessing LLM outputs
*Methods for ingesting and processing large quantities of unstructured data for use in LLMs
*Transcripts from videos
*Working with PDFs and other unstructured data sources
*Interfaces between LLM models and Wolfram outputs
*All-in-one tools to create content and summaries that maximize the strengths of internal and external resources
*Tips and tricks to improve results