Generating a Coffee Cup Thermal Model from a Schematic with Dyad's Agentic AI: Dyad's AI agent builds a complete thermal model from just an image. In a recent demo, Dyad’s product team showcased an agentic workflow by recreating a coffee cup cooling model originally developed by Dr. Clément Coïc—starting only from a schematic image and simulation plots. The video shows how Dyad transforms model development workflows, from understanding physical systems through images to generating production-ready code. Watch the tutorial here.
The Dyad Dispatch: Launch Edition: The Dyad Dispatch is a newsletter dedicated to sharing events, updates, and product news from the Dyad ecosystem.
Dyad: Agentic AI for Modeling and Simulation Workshop at MIT: Dr. Chris Rackauckas and Anshul Singhvi will lead a workshop on Dyad: Agentic AI for Modeling and Simulation on November 18, 6–9 PM at the MIT Stata Center (Room 32-G449), where they will demonstrate how AI agents can build real-world models. Sign up here.
Dyad Studio 1.2.0 Now Released: The latest Dyad Studio update introduces a fully interactive graphical model builder, letting you design, connect, and visualize components directly within VSCode. The new auto-layout feature organizes complex systems automatically, while enhanced component and analysis views make navigating libraries easier than ever. View the release notes.
Dr. Chris Rackuackas at NTNU, Norway: The Norwegian University of Science and Technology(NTNU) held a workshop on Dyad and its Agentic AI capabilities. Dr Chris Rackauckas led the session where participants gained experience in building real-world models using over 30 million Agentic AI tokens, exploring acausal modeling, working with validated reusable components, and leveraging Dyad’s pre-built models across domains such as electrical, mechanical, HVAC, and more.
JuliaHub at AIAA SciTech Forum: AIAA SciTech Forum will take place at Orlando, Florida from January 12-16. It is the world’s largest event for aerospace R&D, attracting more than 6,100 attendees from 48 countries. The 2026 theme is Breaking Barriers Together: Boundless Discovery, showcasing innovation, technical excellence, and global collaboration. JuliaHub will present Dyad’s Agentic AI capabilities at AIAA SciTech. Please contact us if you will be in attendance and would like to connect.
CarboKitten.jl – Open-Source Carbonate Stratigraphic Modeling: CarboKitten.jl introduces a Julia-based toolkit for simulating carbonate platform evolution across geological timescales. Combining biological production models, cellular automata, and sediment transport dynamics, it enables scalable, hypothesis-driven research in carbonate stratigraphy. Find out more.
Save the Date - JuliaCon 2026: JuliaCon 2026 will be held August 10-15, 2026 at Johannes Gutenberg University in Mainz, near Frankfurt, Germany. Click here for more information.
Call for Minisymposia Proposals: The deadline for JuliaCon 2026 minisymposia proposals is December 2, 2025, at 11:30 PM IST. JuliaCon has traditionally had minisymposia on topics related to various fields, including high-performance computing, quantum computing, life sciences, and many others. Submit your proposal before the deadline.
JuliaLang Japan 2025 - Join the Community in Tokyo: The JuliaLang Japan 2025 conference will take place on Saturday, December 13, 2025, at Tokyo Institute of Science, Ookayama Campus. This hybrid event brings together researchers, developers, and enthusiasts from across Japan and beyond to share ideas, projects, and advances in the Julia language. Sign up here.
Winter School in Data Analytics and Machine Learning: The Fribourg Winter School is offering a two-week program, both on-site at Université de Fribourg - Universität Freiburg and online, from February 2–13, 2026. The course covers data analytics, predictive and causal machine learning, and deep learning, using Python, R, Julia, and KNIME. Register here.
New Blog Posts from JuliaHub: JuliaHub has published a number of new blog posts about Dyad and other topics of interest to Julia users. Click the links below for more.
Causal vs. Acausal Modeling: Unlocking Flexibility in System Design
Say Goodbye to Repo Bloat: Git LFS is Now Automatic in JuliaHub
Learning the Unseen: Disturbance Modeling with Scientific Machine Learning in Julia
Free Online Julia Webinars from JuliaHub: JuliaHub provides free one-hour Webinars led by JuliaHub staff and other experts. Space is limited and registration is required, so please sign up today!
Control Systems Development in Julia with JuliaHub Sales Engineer Dr. Ranjan Anantharman, Tuesday November 18, 1-2 PM Eastern (US)
Compilation of Julia Code for Deployment in Model-Based Engineering Workflows with JuliaHub Sales Engineer Dr. Ranjan Anantharman, Thursday November 20, 1-2 PM Eastern (US)
Leveraging Neural Networks to Uncover Missing Physics with JuliaHub Sales Engineer David Dinh, Wednesday December 03, 1-2 PM Eastern(US)
Causal vs. Acausal Modeling: Unlocking Flexibility in System Design with JuliaHub Sales Engineer David Dinh, Wednesday December 17, 1-2 PM Eastern(US)
JuliaC: A New Tool for Building Julia Binaries with JuliaHub Co-founder Jeff Bezanson, and Senior Software Engineer Kristoffer Carlsson, Thursday December 18, 1-2 PM(Eastern) US.
Recent JuliaHub Webinars: JuliaHub provides free one-hour Webinars on topics of interest to Julia users. Many past Webinars are currently available online and more are being added. Click here to watch.
This Month in Julia World: This Month in Julia World is a newsletter from Stefan Krastanov with up-to-date information about Julia events, new releases and more. Find out more.
Nouvelles Julia - Julia News en Français: Nouvelles Julia is a newsletter in French with the latest Julia news. Learn more.
Fast Stiff ODE/DAE Solvers via Symbolic-Numeric Compiler Tricks: Dr. Chris Rackauckas’s JuliaCon 2025 talk is now available online. This talk showcases the integration of specialized computation and symbolic-numeric techniques into ODE solvers.
Randomization for solving high-dimensional problems: algorithms and software: Laura Grigori’s talk presented at JuliaCon Local Paris 2025 is now available online. This session looks at recent progress in using randomization for solving linear systems of equations or eigenvalue problems.
Grammar of Forecasting: The Time Series Analysis and Forecasting Society (TAFS) has introduced the Grammar of Forecasting, a new framework built with The Julia Language. It provides a clean, formula-based interface for time series forecasting, supporting ARIMA, ETS, and future machine learning models. Find out more.
Get Your Modeling Problems Reviewed at No Cost: Sign up for a free evaluation that helps engineers and researchers make the most of Dyad’s capabilities, and to show how the right tools can simplify even the most complex modeling tasks.
New Blog Posts from SciML, Dr. Chris Rackauckas and Great Lakes Consulting: New blog posts have been published by SciML, JuliaHub VP of Modeling and Simulation Dr. Chris Rackauckas and Great Lakes Consulting Senior Julia Developer Steven Whitaker.
Julia Dispatch Podcast: Julia Dispatch is a Julia podcast from Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) and Dr. Michael Tiemann. Click here to watch. Recent episodes include:
This Month in Julia World - August 2025 | JuliaCon Recap & Community Updates
March 2025 Newsletter Deep Dive with Chris Rackauckas & Stefan Krastanov
Julia Gender Inclusive and DEI with Firoozeh Dastur, Leticia Madureira and Skylar Gering
Julia for Earth Sciences and Climate Modeling Panel Discussion
A GSoC Project in Symbolics.jl with Alexander Demin and Yassin ElBedwihy
JuliaHub Consulting Services: Would your organization benefit from a 100x increase in simulation speeds? Dyad might be the solution you need. Click here for more information about Dyad, and to contact us to learn how Dyad can help your business succeed.
Converting from Proprietary Software to Julia: Are you looking to leverage Julia’s superior speed and ease of use, but limited due to legacy software and code? JuliaHub and our partners can help accelerate replacing your existing proprietary applications, improve performance, reduce development time, augment or replace existing systems and provide an extended trusted team to deliver Julia solutions. Leverage experienced resources from JuliaHub and our partners to get your team up and running quickly. For more information, please contact us.
Julia Expertise Needed at University of Glasgow: Dr. Eric Silverman, Research Fellow at the University of Glasgow, seeks a Research Associate for a 5-year research project on computational modeling for public health using an agent-based modeling framework developed in Julia. Julia experience and a PhD are required for this position. Click here for more information and to apply.
Julia and JuliaHub in the News
Simplilearn: The 99 Best Programming Languages to Learn in 2026
Analytics Insight: Fastest Programming Languages in 2025: Pick the Right One
Quantum Zeitgeist: Gpu-resident Algorithm Accelerates Bidiagonalization of Banded Matrices, Optimizing for Throughput
Forbes: Learning The Most Rigorous Approaches To Validating Algorithms And Greatly Boosting AI Safety
The Debrief: Scientists Develop “Effort.jl” Emulator That Can Simulate the Entire Universe—on Just a Laptop
Quantum Zeitgeist: Grape. Jl: Julia Package Achieves Flexible, High-Performance Gradient Ascent Pulse Engineering for Optimal Control
Analytics Insight: Best Programming Languages to Land a Finance Job
Julia Blog Posts
This Month in Julia World (Stefan Krastanov)
Causal vs. Acausal Modeling: Unlocking Flexibility in System Design (David Dinh)
Say Goodbye to Repo Bloat: Git LFS is Now Automatic in JuliaHub (Mridul Upadhyay)
Announcing Dyad Studio V1.2.0 (Anshul Singhvi)
The Dyad Dispatch: November 2025 (JuliaHub)
Learning the Unseen: Disturbance Modeling with Scientific Machine Learning in Julia (Dr. Fredrik Bagge Carlson)
SciML Developer Chat Episode 1: Trimming, Base Splits, and Symbolics Precompilation (SciML)
How to Use ToolipsSessionRPC (Emma Boudreau)
Soon! — Chifi Update (Emma Boudreau)
Putting The Finishing Touches On OliveCollaborate (Emma Boudreau)
Packaging Your Julia Software (Emma Boudreau)
Deploying Your Julia Project (Emma Boudreau)
Getting Clara And ChifiDocs Back Online (Emma Boudreau)
7 Unique Ways To Shrink Your Julia Code (Emma Boudreau)
What Sets Julia Apart? (Emma Boudreau)
Creating A Memory Usage Extension For Olive (Emma Boudreau)
Upcoming Julia and JuliaHub Events
Online: Control Systems Development in Julia with JuliaHub Sales Engineer Dr. Ranjan Anantharman, Tuesday November 18, 1-2 PM Eastern (US)
Online: Compilation of Julia Code for Deployment in Model-Based Engineering Workflows with JuliaHub Sales Engineer Dr. Ranjan Anantharman, Thursday November 20, 1-2 PM Eastern (US)
Online: Leveraging Neural Networks to Uncover Missing Physics with JuliaHub Sales Engineer David Dinh, Wednesday December 03, 1-2 PM Eastern(US)
Online: Causal vs. Acausal Modeling: Unlocking Flexibility in System Design with JuliaHub Sales Engineer David Dinh, Wednesday December 17, 1-2 PM Eastern(US)
MIT: Dyad: Agentic AI for Modeling and Simulation Workshop at MIT with Dr. Chris Rackauckas and Anshul Singhvi on November 18, 6–9 PM at the MIT Stata Center (Room 32-G449).
St. Louis, MO: Seamless Scaling of Applications Across Programming Models Poster Reception at Second Floor Atrium, SC25, on Tuesday, Nov 18, 2025, 5:15–7:00 PM CST.
Recent Julia and JuliaHub Events
Online: Dialed-in, Not Locked-In: Migrating to Scalable & Cost-Conscious Compute on JuliaHub with Sales Engineer Phil Vernes, October 16
Online: Building High-Fidelity HVAC Models with Dyad and Scientific Machine Learning with Dr. Avinash Subramanian, JuliaHub Software Engineer for Simulation, Optimization and Control, and Christopher Laughman, Mitsubishi Electric Research Laboratories Senior Principal Research Staff, November 13
Aurora, Colorado: American Conference on Pharmacometrics October 18-21
Contact Us: Please contact us if you want to:
Obtain pricing for Julia consulting projects for your organization
Schedule Julia training for your organization
Share information about exciting new Julia case studies or use cases
Spread the word about an upcoming online or offline event involving Julia
Partner with JuliaHub to organize a Julia event online or offline
Submit a Julia internship, fellowship or job posting
About JuliaHub, Julia and Dyad
JuliaHub is a fast and easy-to-use code-to-cloud platform that accelerates the development and deployment of Julia programs. JuliaHub users include some of the most innovative companies in a range of industries including pharmaceuticals, automotive, energy, manufacturing, and semiconductor design and manufacture.
Julia is a high performance open source programming language that powers computationally demanding applications in modeling and simulation, drug development, design of multi-physical systems, electronic design automation, big data analytics, scientific machine learning and artificial intelligence. Julia solves the two language problem by combining the ease of use of Python and R with the speed of C++. Julia provides parallel computing capabilities out of the box and unlimited scalability with minimal effort. Julia has been downloaded by users at more than 10,000 companies and is used at more than 1,500 universities. Julia co-creators are the winners of the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.
Dyad brings together cloud-native infrastructure, differentiable programming, and modular extensibility to support next-generation engineering workflows. Dyad enables the development of continuously improving digital models by integrating AI with scientific machine learning (SciML) in a safe, engineer-in-the-loop, environment. Dyad empowers teams to deploy smarter, faster, and more reliable systems without compromising on the rigor of traditional engineering for over-the-air updates, predictive maintenance and real-time performance tuning. Get started with Dyad here.
