This month in Julia world highlights compiler progress, JETLS, RayMakie, GPU tooling, and new ecosystem releases—a strong snapshot of momentum across the Julia community. discourse.julialang.org/t/this-month... #JuliaLang #OpenSource #ScientificComputing #DeveloperTools #GPUComputing

What makes a good #engineering model? Join our #webinar on fidelity, sensitivity, efficiency, and building models you can trust with Dyad. juliahub.com/events/what-... #julialang #Dyad #EngineeringModeling #SystemsEngineering #Simulation #ModelValidation

March at JuliaHub: cuTile.jl brings NVIDIA’s CUDA Tile to Julia, Dyad 2.2 is here, and live Dyad workshops are coming to Europe. A strong month for modeling and scientific computing. juliahub.com/blog/march-2... #JuliaHub #JuliaLang #Dyad #ScientificComputing #Simulation

Join us March 18 at 1:00 PM EDT for Julia for Engineers Part 2. Learn how to model and analyze steady-state and dynamic systems in Dyad, and better understand performance under changing conditions. juliahub.com/events/julia... #JuliaLang #Dyad

Dyad 2.2 is live, with a more unified Systems Engineering Studio: faster startup, clearer AI visibility, stronger solver support, and a more streamlined modeling workflow. juliahub.com/blog/dyad-2.... #JuliaLang #Dyad #SystemsEngineering #Modeling #Simulation

cuTile.jl brings NVIDIA’s tile-based GPU programming model to Julia, making high-performance CUDA kernel development simpler, more accessible, and more productive. juliahub.com/blog/cutile.... #JuliaLang #AIInfrastructure #HighPerformanceComputing #GPUComputing #DeveloperTools

How do you model a complex system with many moving parts? See how agentic AI connects behavior, communication, motion, and mission goals in one live simulation. juliahub.com/events/dyad-... #julialang #Dyad #ModelingChallenge #SatelliteSwarm #SpaceTech #AIModelling #Simulation #SystemsEngineering

JuliaHub 26.1 adds workstation hibernation, smarter log filtering, self-service IQOQ reports, and stronger admin controls for secure, scalable computing. juliahub.com/blog/juliahu... #julialang #JuliaHub #DevTools #CloudComputing #Security #Engineering

In this #webinar, Julia for Engineers Part 2, learn how to model and analyze both steady-state and dynamic systems using Dyad, capturing equilibrium and time-dependent behavior in one workflow. juliahub.com/events/julia... #JuliaLang #Dyad #Modeling #SystemSimulation

Causal or acausal? This webinar explores the two key paradigms of system modeling—plant-focused acausal models and control-focused causal models—and how they work together in Dyad. juliahub.com/events/the-t... #Dyad #JuliaLang #ModelBasedDesign #ControlSystems

Engineering models are growing more complex. This session introduces the Dyad Agent—an AI assistant for model-based engineering that helps build, modify, and explore physics-based system models more efficiently. juliahub.com/videos/meet-... #JuliaLang #Dyad #AgenticAI #Modeling

Streamline your engineering modeling workflows with Julia and Dyad. Learn how high-performance computing and component-based modeling come together to build and simulate complex systems. juliahub.com/events/julia... #JuliaLang #Dyad #Modeling #Simulation

See agentic #AI in action for real modeling workflows. In this Dyad tutorial, we build and analyze an RLC circuit—from natural language prompts to #simulation, plots, animations, and image-to-model generation. youtu.be/8QoFf6x8qjw?... #JuliaLang #Dyad #AgenticAI #Modeling

Model steady-state and dynamic systems in one framework. In Julia for Engineers Part 2, Dr. Ranjan Anantharaman shows how to build and simulate equilibrium and time-dependent models in Dyad. juliahub.com/events/julia... #JuliaLang #Dyad #Modeling #SystemSimulation

Scaling from local dev to cluster shouldn’t break your workflow. Project Batch Jobs in JuliaHub 25.10 replicate your full Project environment on cluster nodes—dependencies and specs included. Launch in a click and keep outputs organized. juliahub.com/blog/project... #JuliaLang #JuliaHub #HPC

Join the Dyad Live Modeling Challenge as we model a Hybrid EV powertrain using agentic #AI. Watch components and system dynamics come together in real time—and see how complex models are built step by step. www.youtube.com/live/qLfV4K2... #Dyad #AgenticAI #EVTechnology #Powertrain #JuliaLang

Discover how Julia and Dyad support modeling and simulation for engineers. Learn how high-performance computing and component-based modeling come together for multi-domain systems. juliahub.com/events/julia... #JuliaLang #Dyad #ModelBasedDesign #ScientificComputing

JACC v1.0 brings performance-portable parallelism to CPU & GPU computing with high-level APIs for arrays and execution. Born at Oak Ridge to turn DOE HPC research into practical tools for scientists. github.com/JuliaGPU/JAC... #JuliaLang #HPC #GPUComputing #OpenSource

JuliaCon Global 2026 CFP is open through Feb 28, 2026 (23:59 CET). Join us in Mainz, Germany (Aug 10–15) and share your work with the global Julia community across industry and academia. Submit here: pretalx.com/juliacon-202... #JuliaCon #JuliaLang #CFP #OpenSource #ScientificComputing #DataScience

MultiFloats.jl v3.0 is here — delivering faster, more accurate extended-precision arithmetic (128–256 bit). The latest release introduces new algorithms that outperform v2.0 in both speed and accuracy. github.com/dzhang314/Mu... #JuliaLang #MultiFloats #HighPrecision #ScientificComputing #HPC

February JuliaHub #newsletter is live—spotlighting Dyad 2.0 with agentic #AI, new modeling livestreams, #SciML breakthroughs, media features, and upcoming #webinars. Explore how physics-based AI is reshaping engineering workflows. juliahub.com/blog/februar... #JuliaHub #Dyad #AgenticAI #JuliaLang

Join the Dyad Live Modeling Challenge as we continue our quadcopter #simulation. Watch agentic #AI reason, iterate, and refine the model in real time while engineers unpack system dynamics step by step. www.youtube.com/live/8AxLsL4... #JuliaLang #Dyad #AgenticAI #Robotics #ControlSystems

Julia’s latest compiler advances enable direct binary compilation for model-based #engineering. This session shows real examples—from Raspberry Pi state estimation to shared PID libraries—supporting scalable, real-time deployment without C code. juliahub.com/videos/compi... #JuliaLang #Embedded

Julia’s GPU-accelerated ODE solvers deliver 20–100× speedups over JAX and PyTorch. In this talk, Chris Rackauckas explains the GPU architecture choices behind the gains—and where they matter most. youtu.be/ZSFfv2cckx0 #JuliaLang #GPUComputing #SciML #HPC #ScientificComputing

See Dyad’s agentic AI build an interactive quadcopter simulation in real time. This session covers model construction, control, and live interaction using Makie—showing AI-assisted engineering in practice. juliahub.com/videos/dyad-... #Dyad #AgenticAI #JuliaLang #Robotics #SystemSimulation

Meet the Dyad Agent—an agentic #AI assistant for model-based #engineering. See how it works with #Dyad models and #simulations to support model creation, refactoring, debugging, and exploration, with validation built in. juliahub.com/videos/meet-... #JuliaLang #AgenticAI #ModelBasedEngineering

JuliaC introduces a new way to build executables and shared libraries directly from Julia. See how compact binaries make Julia practical for systems and embedded applications. juliahub.com/videos/julia... #JuliaLang #JuliaC #SystemsProgramming #EmbeddedSystems #HPC

At AIAA SciTech, JuliaHub demonstrated Dyad’s agentic AI for interacting with complex, physics-based models. From aerospace to fluid mechanics, Dyad sparked conversations on scalable, trustworthy AI-assisted engineering. juliahub.com/blog/juliahu... #julialang #JuliaHub #Dyad #SciML #EngineeringAI

Engineering models are getting more complex—and the tools to work with them must evolve. This webinar explores the #Dyad Agent and how agentic AI helps engineers build, modify, and reason about system models using physics-grounded workflows. juliahub.com/events/intro... #JuliaLang #AgenticAI #SciML

See how Dyad and Makie.jl turn system models into interactive dashboards. Build dynamic plots, explore parameter sweeps with live UI controls, and move beyond static charts to 3D, physics-based #visualizations. juliahub.com/videos/inter... #Dyad #Makie #JuliaLang #DataVisualization #SystemSimulation

See Dyad’s #AI #Modeling Challenge as we build an interactive #quadcopter #simulation. Watch the #drone respond to real-time inputs in a dynamic environment—showcasing agentic modeling and control in practice. www.youtube.com/live/mXQ391m... #JuliaLang #AgenticAI #Robotics #ControlSystems

Machine Design highlights how Scientific Machine Learning is transforming #predictive #maintenance. By combining physics with data, #SciML delivers scalable, reliable insights—even with limited telemetry. juliahub.com/blog/juliahu... #Julialang #DigitalTwins #Manufacturing #JuliaHub

#Engineering models keep getting more complex—and agentic #AI is changing how engineers work with them. This webinar shows how the Dyad Agent helps build, extend, and reason about system models using AI grounded in real physics. juliahub.com/events/intro... #Dyad #AgenticAI #ModelBasedDesign

The January #JuliaHub #newsletter is here—covering the upcoming Dyad v2.0 release with #agentic #AI, a new Dyad Modeling Live series, #webinars, and highlights from the Julia open-source ecosystem. juliahub.com/blog/announc... #JuliaLang #Dyad #AgenticAI #ScientificComputing #OpenSource

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