Dyad’s #agentic #AI turns a single schematic into a full thermal model—identifying components, generating physics-based parameters, calibrating results, and producing clear visualizations. juliahub.com/videos/gener... #Dyad #JuliaLang #AgenticAI #SystemSimulation #ScientificComputing

We built a quadrotor model step by step using agentic AI—from a 6-DoF controller to drag, motor dynamics, and wind. See how Dyad updates equations, validates models, and visualizes results in real time. juliahub.com/blog/buildin... #Dyad #AgenticAI #JuliaLang #SystemSimulation #Robotics

Build interactive #dashboards with #Dyad and Makie.jl. Learn how to connect system models to dynamic #visualizations, run live parameter sweeps with UI controls, and explore 3D, physics-based views. juliahub.com/events/inter... #Dyad #Makie #JuliaLang #ScientificComputing

Engineering models are getting more complex. The Dyad Agent is an agentic AI that helps engineers build, extend, and reason about system models more efficiently, with workflows grounded in real physics. juliahub.com/events/intro... #Dyad #AgenticAI #ModelBasedDesign #JuliaLang #webinar

Dyad now exports smaller, faster Functional Mockup Units by leveraging JuliaC—cutting FMU size and compile time while maintaining full FMI support for system simulation and co-simulation workflows. juliahub.com/videos/fast-... #JuliaLang #Dyad #FMU #SystemSimulation

Hands-on control systems in Julia. This session covers plant modeling, frequency analysis, state-space design, and closed-loop PID control—an end-to-end look at modern control engineering workflows. juliahub.com/videos/contr... #JuliaLang #ControlSystems #PIDControl

Julia and #ModelingToolkit.jl enable direct binary compilation for model-based engineering—no C code required. See real examples, including a state estimator on Raspberry Pi and a Julia-based PID controller built as a shared library. juliahub.com/videos/compi... #JuliaLang #EmbeddedSystems

Join our live webinar on interactive dashboards with Dyad and Makie.jl. Learn how to link models to dynamic visualizations, run live parameter sweeps with UI controls, and explore 3D, physically meaningful views. juliahub.com/events/inter... #JuliaLang #Dyad #Makie #ScientificComputing #SciML

An episode with Dr. Viral Shah and Dr. Chris Rackauckas on rethinking engineering simulation. They discuss modern solver stacks, SciML, digital twins, and how hybrid physics–ML tools may reshape industrial engineering. open.spotify.com/episode/16wQ... #JuliaLang #SciML #ScientificComputing

#Security is a shared responsibility. The Julia ecosystem is strengthening its foundations with community-driven advisories and integrations with industry-standard tools—helping ensure Julia is secure, trusted, and production-ready. juliahub.com/blog/securin... #JuliaLang #OpenSourceSecurity

#JuliaC introduces a new way to build executables and shared libraries directly from Julia. In this session, Jeff Bezanson and Kristoffer Carlsson walk through the #compiler interface and show how JuliaC enables compact binaries and cross-language deployment. juliahub.com/events/build... #JuliaLang

The Dyad #AI #Modeling Challenge recording is now available. See how a quadcopter model is built from scratch, tested in windy conditions, and tuned for stability using an agentic modeling workflow. A hands-on look at real-time modeling and control. www.youtube.com/live/toTNss-... #JuliaLang #Dyad

Want to see #JuliaC in action? Join Dr. Jeff Bezanson and Kristoffer Carlsson as they show how to build executables and shared libraries directly from Julia, with cross-language integration for real #engineering workflows. juliahub.com/events/build... #JuliaLang #EmbeddedSystems #programming #C

#JuliaHub 25.10 is live. This release adds Project Batch Jobs, custom Windows workstation images, SharePoint and OneDrive integration, #GitHub Enterprise support, and stronger #governance—built to scale #workflows securely from exploration to production. juliahub.com/blog/whats-n... #JuliaLang

We’re live now on the Dyad AI Modeling Challenge—building a quadcopter model, simulating wind conditions, and tuning control logic in real time. www.youtube.com/live/toTNss-... #JuliaLang #Dyad #AgenticAI #SystemSimulation #DynamicSystems #ControlSystems #ModelBasedDesign #ScientificComputing

Join us for the #Dyad #AI #Modeling Challenge as we build a quadcopter model, test it in windy conditions, and tune its control algorithm for stability. A great look at real-time #modeling and control. www.youtube.com/live/toTNss-... #JuliaLang #Dyad #AgenticAI

The Julia Security Working Group (JLSEC) has launched to strengthen security across the Julia ecosystem, focusing on SBOM tooling, package advisories, and metadata analysis. www.julialang.org/blog/2025/11... #JuliaLang #OpenSourceSecurity #SBOM

SciML is transforming predictive maintenance by combining physics and limited telemetry. Binnies UK, Williams Grand Prix Technologies and JuliaHub achieved 90%+ accuracy using just four signals. juliahub.com/blog/water-i... #SciML #JuliaHub

Explore how causal and acausal modeling differ in system design. This session uses RC and RLC circuits to show why acausal #modeling scales better as complexity grows, and how Dyad with Julia and #SciML makes it practical for real #engineering. juliahub.com/events/causa... #JuliaLang #Dyad

We’re live now on Dyad AI Live! Join us as we continue building a real-time thermal model of an heating system using #Dyad and #AI. www.youtube.com/watch?v=JldE... #JuliaLang #Dyad #AgenticAI #HVACSimulation #SystemSimulation #DynamicSystems #ScientificComputing #ModelBasedDesign

Join us Friday on Dyad AI Live as we continue modeling an apartment heating system in real time. See how Dyad’s agentic #AI tackles #HVAC challenges and dynamic system behavior. Bring your questions—we'll model them live. www.youtube.com/watch?v=JldE... #JuliaLang #Dyad #AgenticAI

Join us for a deep dive into JuliaC, the new toolchain for building executables and shared libraries from Julia code. Learn how to create compact binaries and integrate Julia with #C, #C++, #Python, and more. juliahub.com/events/build... #JuliaLang #EmbeddedSystems #TechnicalComputing

See how Julia and #ModelingToolkit.jl remove the need for C code in model-based #engineering. This session covers direct binary compilation for real-time control, plus case studies on a nonlinear estimator and a Julia-based PID controller. juliahub.com/videos/compi... #JuliaLang #ModelBasedDesign

See how #Dyad Model Discovery uses Universal Differential Equations and neural networks to learn the physics traditional models miss. This session covers how neural components integrate with physical models and how data reveals the missing dynamics. juliahub.com/events/lever... #JuliaLang #SciML

Ever modeled a #Thanksgiving turkey? Our new video shows how Dyad’s #Agentic #AI builds and simulates a full thermal model of a turkey in the oven. Watch now! juliahub.com/blog/cooking... #JuliaLang #Dyad #AgenticAI #SystemSimulation #ScientificComputing #ModelingAndSimulation #EngineeringDesign

The recording of our session on Control Systems Development in Julia is now available. It walks through plant #modeling, frequency analysis, state-space design, and PID control—great for anyone exploring modern control #engineering. juliahub.com/videos/contr... #JuliaLang #ControlSystems

See how Dyad Model Discovery uses Universal Differential Equations and neural networks to learn missing physics in real systems. This session shows how neural components fit inside physical models to reveal unmodeled dynamics. juliahub.com/events/lever... #JuliaLang #Dyad #SciML

See how #Dyad Model Discovery uses Universal Differential Equations to learn missing physics by embedding a neural network inside a component and training it on experimental data. This walkthrough shows how Dyad reveals dynamics you can’t fully model. juliahub.com/blog/missing... #JuliaLang #SciML

See how Dyad’s agentic workflows turn flat models into modular hierarchies and add new physics—like spoon interactions—while preserving accuracy in our espresso thermal demo. youtu.be/0RdA-t9_Voc #JuliaLang #Dyad #AgenticAI #simulation #AI #Engineering

The November JuliaHub #Newsletter is out! It features updates from JuliaHub and the wider Julia community, including Dyad’s image-to-model demo, the #Dyad Studio 1.2.0 release, workshops, new tools, and upcoming #webinars. juliahub.com/blog/novembe... #JuliaLang #JuliaHub #JuliaCommunity

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