Looking to streamline your #engineering #modeling and simulation workflows? In this session, we introduce Julia for high-performance technical computing and #Dyad for building, analyzing, and simulating complex, multi-domain systems. Through practical examples, you’ll see how component-based modeling brings flexibility and clarity to modern engineering challenges. juliahub.com/events/julia-fo… #JuliaLang #Dyad #JuliaForEngineers #Modeling #Simulation #ModelBasedDesign #SystemSimulation #ScientificComputing #Engineering #TechnicalComputing #EngineeringWorkflows

This #webinar explores the two fundamental paradigms of system modeling: declarative acausal models for physical plant design and causal models for control systems. Learn how both approaches serve distinct purposes and how they can co-exist effectively within the Dyad modeling environment. Register now to join the session. juliahub.com/events/the-two-… #JuliaLang #Dyad #ModelBasedDesign #SystemModeling #AcausalModeling #ControlSystems #SystemSimulation #ScientificComputing #EngineeringDesign #TechnicalComputing

This #webinar introduces Julia and Dyad for engineers focused on #modeling and #simulation. Discover how Julia powers high-performance technical computing and how Dyad supports component-based modeling of complex, multi-domain systems. Through practical examples, see how these tools work together to build, analyze, and simulate #engineering models more effectively. juliahub.com/events/julia-fo… #JuliaLang #Dyad #Simulation #ModelBasedDesign #SystemSimulation #ScientificComputing #Engineering #TechnicalComputing #EngineeringWorkflows

JACC v1.0 - Performance-Portable Parallelism in Julia:  JACC v1.0 is the first stable release of a Julia package for performance-portable CPU and GPU programming, offering high-level APIs for arrays and parallel execution. The project was developed under the leadership of Philip Fackler and incubated at Oak Ridge National Laboratory, with the goal of translating DOE HPC investments into practical, high-level scientific programming capabilities for the Julia ecosystem. github.com/JuliaGPU/JACC.jl #JuliaLang #JACC #JuliaGPU #HighPerformanceComputing #HPC #GPUComputing #ParallelComputing #ScientificComputing #TechnicalComputing #OpenSource #PerformancePortable #CPU #GPU #OakRidgeNationalLab #DOE

JuliaC introduces a new way to build executables and shared libraries directly from Julia code. In this session, Jeff Bezanson and Kristoffer Carlsson explain the new compiler interface and show how JuliaC enables compact binaries and cross-language deployment. juliahub.com/events/building… #JuliaLang #JuliaProgramming #JuliaC #ScientificComputing #TechnicalComputing #HighPerformanceComputing #EmbeddedSystems #SystemsProgramming

We’re hosting a deep dive on JuliaC, a new toolchain that makes it easy to build executables and shared libraries directly from Julia code. Whether you're embedding Julia in larger applications or deploying standalone binaries, JuliaC streamlines the path to systems programming, embedded development, and high-performance engineering. Dr. Jeff Bezanson and Kristoffer Carlsson will walk through the new compiler interface and show how to build compact binaries and integrate Julia with C, C , Python, and more. juliahub.com/events/building… #JuliaLang #JuliaProgramming #EmbeddedSystems #ScientificComputing #TechnicalComputing #HighPerformanceComputing #Python #C

Discover why we are now the "Home of the Wire Publications." Check out our new website: ow.ly/WGv150Xpujq #AdvancedScaleTech #ScientificComputing #TechnicalComputing #AItechnews #QuantumComputing #BigData

What if ODE solvers weren’t just numerical black boxes? In this talk, Dr. Chris Rackauckas breaks convention with Julia by integrating symbolic-numeric techniques into stiff ODE/DAE solvers. Discover how tools like #ModelingToolkit and codegen transform solver performance—boosting speed and robustness in ways traditional methods can’t match. A must-watch for computational scientists and engineers. youtu.be/NjcrCY0iqGA?si=hvJp… #JuliaLang #ModelingToolkit #ScientificComputing #NumericalMethods #SymbolicComputing #ODESolvers #DAESolvers #HighPerformanceComputing #TechnicalComputing #DifferentialEquations

Discover how to model and simulate steady-state and dynamic systems using Julia and ModelingToolkit.jl. This session walks through powerful techniques to represent physical systems across time, analyze behavior, and streamline #simulation workflows. Perfect for engineers and researchers exploring scalable, efficient #modeling with Julia—no prior experience required. #JuliaLang #ModelingToolkit #SystemSimulation #DynamicSystems #SteadyStateModeling #ScientificComputing #EngineeringModeling #SimulationSoftware #ModelBasedDesign #TechnicalComputing

Just 2 days to go! Part 1 of our Julia for Engineers series is almost here—don't miss this chance to learn how to build symbolic, component-based models with ModelingToolkit.jl and simulate complex systems in Julia. ✅ Build reusable models ✅ Analyze and simulate in one streamlined workflow ✅ See practical, live examples 📅 Wed, July 30 | 1 PM ET Seats are limited, register now! #JuliaLang #ModelingToolkit #Simulation #EngineeringTools #SymbolicComputing #ModelBasedDesign #SystemsEngineering #TechnicalComputing

Part 1 of our “Julia for Engineers” series is here! Dive into fast, symbolic, and component-based modeling with Julia and ModelingToolkit.jl. Learn how to model, simulate, and analyze complex systems—all in one streamlined workflow. Register now and join us live! #JuliaLang #EngineeringTools #ModelBasedDesign #SymbolicComputing #ModelingToolkit #Simulation #SystemsEngineering #TechnicalComputing

Is there a function in Julia for plotting how many times I've hit the snooze button? Source: devhubby.com/thread/how-to-p… #DataAnalysis #TechnicalComputing #PlottingFunctions #Algorithms #julia #function

𝗣𝘆𝘁𝗵𝗼𝗻 𝗩𝘀. 𝗠𝗔𝗧𝗟𝗔𝗕: 𝗖𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗳𝗼𝗿 𝟮𝟬𝟮𝟰 tinyurl.com/2hdkm6m5 #Python #MATLAB #ProgrammingLanguages #TechnicalComputing #EngineeringProjects #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

Fantastic to see our Year 9 Computing Students becoming masters at photoshop. Really impressive work displayed over the past couple weeks. Well done to all! #CarltonCurriculum #TechnicalComputing

Year 8 enjoyed a thrilling rewards trip at VR City today! A brilliant way to celebrate with the winners of the #NationalCodingWeek competition. Well done to all! #CarltonCurriculum #TechnicalComputing #CarltonEdge💎

Our #webinar👩‍💻on 14th December 2021 will consider how the outcomes of #COP26Glasgow could impact our #CyberSecurity and #technology industries hearing from @UniGlosSustain Manager Jon Furley and @Dr_Alisherbaz from #technicalcomputing @uniofglos Register ➡️eventbrite.co.uk/e/214647645…

Using #MATLAB, #Sterlite developed a #predictive #manufacturing solution to reduce manufacturing scrap in their #optical #fiber manufacturing process #machinelearning #mathematicalmodeling #technicalcomputing #FTE pbynd.co/c9ncb

Find out more about #technicalcomputing and #cybersecurity @uniofglos including #undergraduate and #apprenticeship courses, #cyberresearch and C11: youtu.be/jze-9eOMNSA #studentsuccess #highereducation #cybereducation #gloucestershire #innovationineducation #digitalskills

More electrical system reliability is needed. Learn how Siemens predicts the oil level based on surface temperature on the transformer tank #dataanalysis #technicalcomputing #machinelearning buff.ly/3pybxGo

Are you new to technical computing? If so, you’re not alone! We can help you get started if you want to learn: what #technicalcomputing is, how to #code, and how to use technical computing in #M3Challenge. Learn more at the link below! m3challenge.siam.org/resourc…