JuliaHub Announces Dyad 3.0 General Availability: Dyad 3.0 is major release of JuliaHub’s AI-Native systems simulation platform, introducing autonomous simulation agents that work alongside engineers to interpret specifications, analyze designs, test data, generate candidate models, run physics-based simulations, enforce physical and safety constraints, and produce validated models and control code. Find out more.
Dyad 3.0 Live Launch: The livestream provided a first look at Dyad 3.0 and its agentic capabilities with product demos featuring the HL-20 PDF-to-Simulation with the Dyad Agent, Dyad HVAC for Agentic Engineering, Planar Mechanics, and testimonials from customers and partners at Boeing, Mitsubishi Electric Research Laboratories, Siemens Healthineers, Synopsys, and Binnies.
JuliaHub 26.3 Released: The new release improves administrative autonomy, code security and a host of new features. Administrators get direct ownership of private package registries and IQOQ qualification. Security teams get on-demand CVE scanning across Julia codebases, and private registries hosted on JuliaHub using native Trivy integration. Read the full release notes.
Pluto 1.0 is Released: The Pluto team has announced the release of Pluto 1.0, marking six years of continuous development of Julia's popular interactive notebook environment. The release highlights major advances in reproducibility, sharing, accessibility, educational tools, and developer experience, reinforcing Pluto's mission to make scientific computing more accessible, interactive, and engaging for learners, educators, and researchers worldwide.
Quantum Dynamics Breakthrough Overturns Claim of ‘Quantum Supremacy,’ Opens New Research Directions: Researchers at the Flatiron Institute’s CCQ have overturned a recent quantum supremacy claim. Using ITensor.jl, a high-performance Julia-supported tensor network library, the team simulated complex 3D qubit dynamics on a standard laptop. Published in Science, this breakthrough opens new frontiers for classical simulation of quantum materials. Read more.
New JETLS.jl Release Available: The latest JETLS.jl release introduces powerful features driven by compiler-integrated type inference. Highlights include inferred types on hover, property completion for inferred prefix types, dispatch-aware go-to-definition, and improved macro-expansion-error recovery. View the full release notes .
JuliaCon 2026: JuliaCon 2026 will take place August 10-15 in Mainz, at the Johannes Gutenberg University. Get your tickets here.
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!
Discovering Missing Physics Through Scientific Machine Learning - Vehicle Ride Use Case with Dr. Michael Hoffmann, Wednesday June 17, 12 PM Eastern(US)
Build Portable CPU/GPU Code in Julia with Minimal Effort with Oak Ridge National Laboratory scientists William F Godoy and Philip W Fackler, Wednesday June 24, 11 AM(Eastern US).
Introduction to Symbolic Manipulation with Dyad with Dr. Michael Tiller, Wednesday June 26, 12 PM (Eastern US)
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.
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. Read it here.
Nouvelles Julia - Julia News en Français: Nouvelles Julia is a newsletter in French with the latest Julia news. Read it here.
New Blog Posts from SciML: SciML has published new blog posts. You can read them here.
Julia Dispatch Podcast: Julia Dispatch is a Julia podcast from Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) and Dr. Michael Tiemann. Watch it here.
JuliaHub Digital Twin Solutions and Consulting: We help enterprises build deployable and scalable solutions leveraging SciML to create highly accurate and trustworthy Digital Twins. Applications span asset health monitoring, optimization and predictive maintenance, process optimization, model-based control, design optimization, and internal or external simulation tools. We also offer consulting and technical support. Schedule a consultation with our solutions team to discuss your use case.
Careers at JuliaHub: JuliaHub is a fast-growing tech company with fully remote employees in 20 countries on 6 continents. Click here to learn more about exciting careers and internships with JuliaHub.
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.
Julia and JuliaHub in the News
Dyad’s General Availability news was shared by prominent organizations, newsletters and technology publications including Engineering.com, Yahoo!Finance, Digital Engineering 24/7, DailyCADCAM, EngTechnica and others.
Hacker News: Pluto.jl Reaches 1.0
Quantum Zeitgeist: JuliaHub’s Dyad Cuts R&D Time From Months To Days Alongside $65M Series B
Tech Times: Pluto.jl Reaches 1.0 Julia’s Reactive Notebook Now Production-Ready FOr Research
Open Source For You: Pluto.jl 1.0 Brings Reproducible Research Workflows To Julia
Julia Blog Posts
Pluto 1.0 Release (Fons van der Plas )
SciML Small Grants Program: Two Years In, Eight More Projects Funded and Shipped (SciML News)
Building a Smoke Particle System in Julia (Sanjana Salkar)
This Month in Julia World (Stefan Krastanov)
Nouvelles Julia (Pierre Navaro)
JuliaHub 26.3: Expanding Administrative Autonomy and Code Security (Mridul Upadhyay)
Why Early Adopters Move to Dyad (Dr. Michael Hoffmann)
Upcoming Julia and JuliaHub Events
Online: Discovering Missing Physics Through Scientific Machine Learning - Vehicle Ride Use Case with Dr. Michael Hoffmann, Wednesday June 17, 12 PM Eastern(US)
Online: Build Portable CPU/GPU Code in Julia with Minimal Effort with Oak Ridge National Laboratory scientists William F Godoy and Philip W Fackler, Wednesday June 24, 11 AM(Eastern US).
Online: Introduction to Symbolic Manipulation with Dyad with Dr. Michael Tiller, Wednesday June 26, 12PM (Eastern US)
Neckarsulm, Germany: AI & Data-Driven Simulation Forum 2026 with JuliaHub
Johannes Gutenberg University Mainz (Germany, near Frankfurt): JuliaCon 2026 with JuliHub, August 10-15
Contact Us: Please contact us if you want to:
Obtain pricing for Dyad and Julia consulting projects for your organization
Schedule Dyad or Julia training
Share information about exciting new Julia case studies or use cases
Partner with JuliaHub to organize a Julia event online or offline
About JuliaHub, Julia and Dyad
Dyad combines physics-based modeling with scientific machine learning(SciML) for mission-critical engineering. Dyad is fully agentic in its design, making it possible for engineers to carry out complex workflows through natural language interaction. Dyad integrates code, diagrams and agentic workflows in a seamless tool driving 10x productivity. Leveraging the Julia and the SciML ecosystem under the hood, Dyad also benefits from significantly higher performance compared to the competition, often being 100x faster at simulating complex physics. Teams leverage Dyad to build smarter, faster, and more reliable systems without compromising the rigor of traditional engineering, supporting use cases from predictive maintenance to real-time performance tuning and over-the-air updates. The Dyad tool powered by Julia and SciML is free to use. Get started here.
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.
