Join Dr. Ranjan Anantharaman next week for a practical session on control systems development in Julia—from plant #modeling to frequency analysis and PID controller design. juliahub.com/events/contr... #JuliaLang #ControlSystems #SystemSimulation

Tired of rebuilding the same components for every project? Dyad’s standard libraries let you model faster with reusable, declarative #acausal components across electrical, mechanical, thermal, and fluid domains. juliahub.com/blog/modelin... #JuliaLang #Dyad #SystemSimulation

See how Dyad’s #Agentic #AI builds a complete thermal model from just an image. In this demo, it recreates a coffee cup cooling model from a schematic—analyzing components, generating parameters, and calibrating results. youtu.be/eKLDVCkJC1s?... #JuliaLang #Dyad #SystemSimulation

The Dyad Dispatch: November 2025 is here! Catch the latest in #modeling & #simulation—webinars, workshops, and product updates like Dyad Studio v1.2.0 and Agentic #AI for Model-Based Engineering. juliahub.com/blog/dyad-ne... #JuliaLang #Dyad #SystemSimulation

Interpreting Julia code is key to understanding how the language executes and powers its tool ecosystem. Explore how JuliaInterpreter.jl enables Debugger.jl, VSCode, JET.jl, and Revise.jl in this session. youtu.be/Z56ri7G8nMM?... #JuliaLang #JuliaProgramming #JuliaInterpreter

Unseen factors can make or break control systems. Learn how Scientific Machine Learning (SciML) in Julia models unknown disturbances—like sunlight’s effect on smart home temperature—to improve prediction and control. juliahub.com/blog/disturb... #JuliaLang #SciML #SystemSimulation

Join us for a webinar on Control Systems Development in Julia with Dr. Ranjan Anantharaman. Learn how to model, analyze, and design PID controllers for closed-loop systems. 📅 Nov 18, 2025 | 1:00 PM EDT juliahub.com/events/contr... #JuliaLang #ControlSystems #ModelBasedDesign

Dyad Studio v1.2.0 is here! Build and #visualize #models with the new Graphical Model Builder and Diagram View, explore the Dyad Components panel, and enjoy smoother compilation output. juliahub.com/blog/announc... #JuliaLang #Dyad #SystemSimulation #ModelBasedDesign

What if ODE solvers weren’t just numerical? Dr. Chris Rackauckas shows how Julia’s symbolic-numeric tricks supercharge stiff ODE/DAE solvers—making them faster & more robust than ever. Watch here: www.linkedin.com/feed/update/... #JuliaLang #ModelingToolkit #ScientificComputing

Causal modeling defines signal flow, but it gets rigid as systems scale. Acausal modeling focuses on physical relationships—letting equations form automatically. See how Dyad, built on Julia and #SciML, makes system #modeling more scalable and reusable. juliahub.com/blog/causal-... #JuliaLang #Dyad

Accurate refrigerant mass estimation is key to #HVAC efficiency and compliance. Join Mitsubishi Electric + JuliaHub to see how #ModelingToolkit and #SciML enable a #digitaltwin estimator with <2% error using only pressure & temperature data. juliahub.com/events/mitsu... #JuliaLang #Simulation #Dyad

Rigid tools hold engineers back. Learn how #Dyad (built on Julia) supports scalable, reusable model design with acausal #modeling + #simulation—all in one environment. Watch here: juliahub.com/videos/rethi... #JuliaLang #Dyad #SystemModeling

The latest State of Julia dives into executables, threading, RISC-V, Pkg updates & how #AI is shaping open-source development. Watch the recap + Q&A: youtu.be/-60gOIGoD7U?... #JuliaLang #ScientificComputing #OpenSource #JuliaCon

New to system #modeling or ready to level up? Learn RLC circuits, acausal modeling & PID control with Dyad’s hands-on tutorials. Start building real models now → juliahub.com/blog/a-step-... #JuliaLang #Dyad #SystemSimulation #ModelBasedDesign

Refrigerant mass estimation in #HVAC just got easier. Join experts from Mitsubishi Electric & JuliaHub for a #webinar on using #SciML + #ModelingToolkit to build a high-accuracy, non-invasive model using just pressure & temp data. juliahub.com/events/mitsu... #julialang #DigitalTwin #Dyad

Got a tough #modeling or Digital Twin challenge? Get a free expert review of your SciML/controls/deployment problems with Dyad. See how our next-gen platform simplifies everything. juliahub.com/blog/get-you... #julialang #DigitalTwin #SciML #Dyad

Scientific Modeling Cheatsheet: SciML has published a quick reference cheatsheet translating hundreds of functions between Julia, Python and MATLAB. Click here for more. sciml.github.io/Scientific_M... #JuliaLang #SciML #Python #MATLAB #ScientificComputing #DataScience #Cheatsheet #Engineering

Our October 2025 newsletter is out! Highlights include: Julia 1.12 with ∼1MB binaries, Dyad's new Agentic #AI for physically correct #engineering models, and Dr. Viral Shah at #Simulation World! Read all the news: juliahub.com/blog/october... #JuliaLang #AgenticAI #Dyad #MBSE #ScientificComputing

Stop unpredictable system failure! Learn how to use Kalman filters in Dyad for real-time fault detection and seamless cloud deployment. Join our technical deep-dive: juliahub.com/events/build... #Julialang #StateEstimation #KalmanFilter #DigitalTwin #PredictiveMaintenance #Dyad #webinar

Build complex engineering models in minutes, not days! Our new demo shows how Dyad's Agentic AI builds a complete, ready-to-deploy friction brake model (thermal, mechanical, vehicle integration) using just natural language. youtu.be/hIkbUBqi6sI?... #julialan#AgenticAI #Dyad #Engineering #Simulation

Stop letting unplanned downtime sink your budget! Join Dr. Ranjan Anantharaman to see how Dyad uses State Estimators & #DigitalTwins to move you from reactive scrambling to confident, proactive maintenance. juliahub.com/events/fault... #julialang #Dyad #Engineering #webinar #simulation

High-Performance Scientific #Modeling with Julia and SciML: This workshop offers in-depth training on advanced scientific computing techniques using the Julia programming language and the SciML (Scientific Machine Learning) ecosystem. github.com/SciML/Julia_... #JuliaLang #SciML #ScientificComputing

Stop reacting to failures and start predicting them! Join Dr. Ranjan Anantharaman to learn how #Dyad uses #StateEstimators & #DigitalTwins to detect anomalies, move you to predictive maintenance, and prevent costly downtime. Register here: juliahub.com/events/fault... #julialang #webinar #simulation

AI-assisted engineering is only valuable if it's correct. #Dyad is flipping the script on Model-Based #Engineering by embedding #AI agents in a constrained, unit-tested framework to validate physics. We deliver models that are "correct by construction," not just fast. juliahub.com/blog/agentic...

Open Source Friday is live with Julia's co-creator Viral B. Shah and fellow creators/contributors. Learn how Julia bridges the gap between Python's ease and C's speed for HPC, data science, and scientific ML. Tune in! www.youtube.com/live/7_t7M6j... #JuliaLang #OpenSource #TechCommunity #HPC

Tired of rigid tools? Dyad solves the custom physics dilemma. Build your own reusable, acausal components that seamlessly integrate the flexibility of code with #GUI composability. Stop hacking one-off scripts and start building scalable system models! juliahub.com/blog/build-y... #JuliaLang #Dyad

AI-assisted modeling just got smarter. Our latest demo shows how Dyad and Cursor AI work together to accelerate system modeling — from natural language circuit creation to real-time analysis and visualization. youtu.be/awwJPWIlXXM #Dyad #JuliaLang #AI #SciML #EngineeringSimulation #CursorAI

Stop rewriting code! #Dyad’s acausal libraries accelerate your workflow. Use ready-to-use components across all major physical domains (electrical, mechanical, thermal, fluid) to streamline multi-domain #modeling in one Julia-native environment. juliahub.com/blog/modelin... #JuliaLang #SciML

A massive new JuliaHub update is here! Focus on reproducibility, flexibility, and control. Introducing #TimeCapsule (immutable job reproduction), #StaticCode Analysis, and automatic Git LFS for large files. Log in to explore the full update! juliahub.com/blog/power-p... #JuliaLang #ModelingToolkit

Cut IT costs and keep high performance! Our video shows how Julia’s pre-compilation and Sysimage Service help you migrate from licensed compute to a cost-conscious model. juliahub.com/events/diale... #JuliaLang #SysimageService #OpenSource #Efficiency #CostOptimization #HighPerformanceComputing

We partnered with ARPA-E to unlock 30% energy savings. See how JuliaHub drove massive efficiency by taking complex HVAC simulations from weeks to real-time. juliahub.com/case-studies... #JuliaLang #JuliaHub #ModelingToolkit #SciML #DigitalTwins #MachineLearning #HVAC #SystemModeling #Simulation

Stop reinventing the wheel! This video shows how Dyad's ready-to-use component libraries accelerate your modeling workflow. Learn to quickly build and analyze multi-domain models (electrical, mechanical, fluid) using a DC Motor example. juliahub.com/events/model... #Julialang #Modeling #Simulation

We've released Dyad Studio v1.0.0! Our first stable release adds AI integration, submodule support, and syntax improvements. It's powered by the updated Julia ecosystem and ModelingToolkit v10. juliahub.com/blog/announc... #JuliaLang #Dyad #SoftwareEngineering #SystemModeling #AI

Julia and #ModelingToolkit.jl are a powerful combination for engineers. This video explores how to model and analyze both steady-state and dynamic systems, showing how to efficiently set up, solve, and interpret system responses. juliahub.com/videos/julia... #JuliaLang #SciML #Engineering

The package now includes MTKParameters for optimization, improved initialization, dynamic optimization, and new polynomial solvers. It's a major boost for modeling and simulation. juliahub.com/blog/what-s-... #JuliaLang #SciML #ModelingToolkit #Engineering #NumericalMethods #ScientificComputing

Stuck on a complex modeling problem? Get a free review with a Dyad expert! We'll give you hands-on guidance and actionable insights to move your project forward, whether you're building physical models or digital twins. juliahub.com/blog/get-you... #julialang #Modeling #DigitalTwins #SciML #FMU

Frustrated with large, slow model exports? A major improvement to how FMUs are generated is here. A new workflow in Julia 1.12 creates much smaller FMUs (~55 MB) and is significantly faster (~2 min compilation time). Join our webinar to learn more! juliahub.com/events/fast-... #JuliaLang #Dyad #FMU

Major enhancements have been made to JumpProcesses.jl. This Julia package for stochastic #simulations now has a vr_aggregator for variable rate jumps and a #GPU-enhanced solver with up to 10x speedups. sciml.ai/news/2025/09... #JuliaLang #SciML #JumpProcesses #OpenSource #StochasticSimulations

Don't reinvent the wheel! Join our webinar on Wed, Sep 24 at 1 PM ET to learn how to model complex systems fast with Dyad's libraries. We'll show you how to use pre-built components. juliahub.com/company/reso... #JuliaLang #Dyad #SciML #Engineering #Modeling #Simulation #Research #Prototyping

Frustrated with rigid modeling tools? Our new video shows a smarter approach with Dyad and Julia. Learn to build scalable, reusable models and streamline your simulation workflow. Watch now! juliahub.com/company/reso... #JuliaLang #Dyad #SciML #OpenSource #Tech #SystemModeling #SystemsEngineering

Struggling to model steady-state & dynamic systems? Our new video shows how engineers use Julia and ModelingToolkit to build a hydraulic actuator model. Learn a unified workflow to capture both behaviors efficiently. juliahub.com/company/reso... #JuliaLang #ModelingToolkit #OpenSource #SciML

Frustrated with satellite power analysis? Our new video shows how open-source Julia tools unify orbit and power system modeling in one place. juliahub.com/company/reso... #JuliaLang #SciML #SpaceTech #Engineering #Robotics #OpenSource

Designing satellite power systems often means juggling fragmented tools. With #Dyad, powered by Julia + #SciML, engineers can unify orbital analysis + power #modeling in one workflow—enabling high-fidelity simulations + faster design decisions. juliahub.com/blog/satelli... #JuliaLang #Simulation

AI from Formula 1 meets the UK water sector. JuliaHub, Binnies & Williams bring SciML to enable predictive maintenance—95% accuracy, energy savings & resilience. juliahub.com/blog/uk-wate... #Julialang #AI #SciML #WaterIndustry #PredictiveMaintenance #F1Tech #Sustainability

Binnies, Williams, & JuliaHub are bringing SciML to the UK water sector—helping shift from reactive fixes to predictive resilience. Early pilots with Southern Water & Anglian Water show the potential. smartwatermagazine.com/news/smart-w... #julialang #SciML #AI #DigitalTwins #WaterIndustry #UKWater

Why Dyad? Built on Julia + SciML, Dyad bridges hardware + software with symbolic modeling, scalable solvers & modern standards—enabling faster, more trustworthy engineering workflows. juliahub.com/blog/why-dya... #JuliaLang #SciML #Dyad #Simulation #FutureOfEngineering

The future of engineering is Software-Defined Machines—adaptive systems powered by AI + digital twins. With #SciML and Dyad, engineers can merge physics + data to build trustworthy digital twins and accelerate innovation. juliahub.com/blog/white-p... #JuliaLang #DigitalTwins #AI #FutureOfEngineering

Senior devs stand to benefit most from vibe #coding. Christopher Rackauckas shares why experts are uniquely positioned to use #LLMs effectively—and how it can speed up real work. www.stochasticlifestyle.com/a-guide-to-g... #AI #GenerativeAI #SoftwareEngineering #Programming #SoftwareDevelopment

See how Julia + ModelingToolkit.jl streamline engineering workflows. Build, analyze & simulate complex systems faster with symbolic + component-based modeling. Watch here: youtu.be/jkHponz0Jok?... #JuliaLang #ModelingToolkit #Simulation #Engineering

From silicon to system—Prith Banerjee’s JuliaCon 2025 keynote explores the future of Digital Twins, hybrid modeling, and how Julia is shaping the next wave of engineering. youtu.be/9ytahXAhdNM?... #JuliaLang #DigitalTwins #Simulation #AI #Engineering