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UK Water Report Spotlights JuliaHub, Binnies & Williams Partnership Driving Predictive Maintenance: The UK Water Report features an in-depth article on how a groundbreaking partnership between Binnies, Williams Grand Prix Technologies and JuliaHub is set to transform asset health management in the UK water sector. Click here to learn more.
Amazon Uses Julia for Logistics Optimization: Axel Navarro, Applied Scientist at Amazon, announced the public release of Amazon Science’s new open-source solver, JuLS (Julia Local Search). “JuLS is fast, extensible, and welcomes community contributions. It combines Constraint-Based Local Search and Constraint Programming, and it's already deployed in Amazon's production environment to tackle middle-mile routing and scheduling. JuLS performs on par with OR-Tools on standard tasks, but its real strength is handling black-box objectives and constraints, making it a powerful solution for real-world optimization scenarios that often require interfacing with proprietary or external systems. More than a solver, JuLS is a playground for researchers and practitioners tackling combinatorial optimization problems.” Click here for more.
JuliaHub at Modelica: Dr. Chris Rackauckas, JuliaHub VP of Modeling and Simulation and Dr. Michael Tiller, JuliaHub Senior Director of Product Management, presented Connecting Dyad with FMI and AI during the Modelica conference in Lucerne, Switzerland. More information is available here.
Julia Community Prize Winners Announced: The winners of the 2025 Julia Community Prize were announced during JuliaCon. This year’s winners are:
Save the Date - JuliaCon 2026: JuliaCon 2026 will be held August 10-15, 2026 at Johannes Gutenberg University in Mainz, near Frankfurt. Click here for more information.
JuliaHub + Mitsubishi Electric Webinar: Building High-Fidelity HVAC Models with Dyad and Scientific Machine Learning is a joint Webinar from JuliaHub and Mitsubishi Electric Research Laboratories. Dr. Avinash Subramanian, Software Engineer for Simulation, Control and Optimization at JuliaHub, and Christopher Laughman, Senior Principal Research Staff at Mitsubishi Electric Research Laboratories, will present this Webinar on Thursday, November 13 at 11 am Eastern (US). Click here for more information and to register.
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!
Recent JuliaHub Webinars: JuliaHub provides free one-hour Webinars on topics of interest to Julia users. Nearly 100 past Webinars are available online. Click here to watch.
JuliaHub at JuliaCon Local in Paris: The Julia community in Europe is organizing JuliaCon Local Paris October 2-3, 2025. JuliaHub is a Gold sponsor. There will be a presentation from Dr. Tim Besard, JuliaHub Software Engineer, on Kernels Without Borders: Parallel Programming with KernelAbstractions.jl. Click here for more information.
JuliaHub at ACoP in Aurora, Colorado: JuliaHub will be attending the American Conference on Pharmacometrics October 18-21 in Aurora, Colorado. Please contact us if you will be in attendance and would like to connect.
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. Click here to read.
Nouvelles Julia - Julia News en Français: Nouvelles Julia is a newsletter in French with the latest Julia news. Click here to read.
Julia for Block Tridiagonal System Solutions: Researchers Accelerate Block-Tridiagonal System Solutions with a Tailored GPU Implementation for Optimal Control is a new article in Quantum Zeitgeist. MIT and Argonne National Laboratory researchers use Julia and GPUs to “achieve significant speed improvements over existing CPU-based solvers and [demonstrate] strong performance compared to other GPU implementations, paving the way for faster simulations and more efficient problem-solving in numerous fields.”
Julia for Quantum Control: Quantum Control: AI Boosts Fidelity for Scalable Qubits is a new article in Quantum Zeitgeist. Researchers from Forschungszentrum Jülich and the University of Regensburg use Julia to boost fidelity for scalable qubits. Click here to read more.
Satellite Power Analysis: A Fast, Composable, High-Fidelity Approach: JuliaHub Sales Engineer David Dinh has published Satellite Power Analysis: A Fast, Composable, High-Fidelity Approach, a blog post that explains how Dyad leverages Julia and the SatelliteToolbox.jl ecosystem to “integrate composable, acausal models of satellite power systems and space mission analysis into one streamlined platform.” Power Subsystem Design for Small Satellites in Julia is a Webinar from David Dinh that demonstrates this workflow in action.
Engineering in the Age of Agile: JuliaHub Software Engineer Anshul Singhvi has published Engineering in the Age of Agile, a blog post that explains how Dyad merges “software agility, scientific accuracy and multi-scale modeling into a single unified workflow.”
Dyad - A New Domain Specific Language For Modeling and Simulation: JuliaHub’s sponsor talk from JuliaCon 2025 is now available. Dr. Chris Rackauckas, JuliaHub VP of Modeling and Simulation, presented Dyad - A New Domain Specific Language For Modeling and Simulation. Dyad “is a next-generation modeling environment built on Julia that merges physics, data, and code into a single platform.” Click here to watch the video.
New Blog Posts from SciML: SciML has published several new blog posts. Click here to read.
New Blog Posts from Dr. Chris Rackauckas: Dr. Chris Rackauckas, JuliaHub VP of Modeling and Simulation, has published two new blog posts. Click here to read.
New Blog Posts from Great Lakes Consulting: Steven Whitaker, Senior Julia Developer at Great Lakes Consulting, has published two new blog posts. Click here to read.
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:
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.
Free Compute on JuliaHub (20 hours): In addition to the features JuliaHub has always offered for free – Julia ecosystem search, package registration tools, a dedicated package server – the platform now also gives every user 20 hours of free compute. This allows people to seamlessly share Pluto notebooks and IDE projects with others and lets them get their feet wet with computing without having to open up their wallets. Click here to get started or check out Deep Datta’s introductory blog post, JuliaHub Is a Free Platform to Start Your Technical Computing Journey, which explains how and why to start using JuliaHub for cloud computing.
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.
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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. Dyad Studio is a powerful Visual Studio Code (VS Code) extension for the Dyad Modeling Language – engineered for professionals who need more than what traditional modeling GUIs can offer. Our next release will be Dyad Builder which provides a graphical user interface for quickly constructing and analyzing system level models. Both of these tools are part of our Dyad platform, an AI-enabled system modeling system built from the ground up for the era of Software-Defined Machines.