Updates
JuliaHub at AIAA SciTech January 7-9: Join American Institute of Aeronautics and Astronautics (AIAA) SciTech Forum in Orlando, Booth 514, from January 7-9 to discover how Dyad (Formerly JuliaSim) is transforming R&D in aerospace, defense, and engineering. Built for high-performance modeling, Dyad (Formerly JuliaSim) integrates AI/ML and digital twin technology to deliver real-time, scalable simulations for complex physical systems.
Live Dyad (Formerly JuliaSim) Demos: Experience rapid, accurate simulations that optimize design, testing, and predictive maintenance.
Secure Solutions for High-Security Projects: Learn about JuliaHub’s air-gapped environment for on-premises, compliant deployments.
Discover how you can accelerate innovation with the power of Julia and Dyad (Formerly JuliaSim) for your R&D projects. To schedule a consultation with our team at AIAA SciTech, please contact us at sales@juliahub.com.
Julia Award Winners at SC24: The Julia community was well-represented among award winners at SC24 in Atlanta November 16-22.
Dr. William Moses Receives Outstanding Doctoral Dissertation Award: Dr. William Moses, longtime collaborator with the MIT Julia Lab and developer of the Enzyme automatic differentiation engine used heavily throughout the Julia ecosystem, received the Outstanding Doctoral Dissertation Award for best doctoral dissertation in high performance computing for his work on Enzyme. The dissertation is titled Supercharging Programming through Compiler Technology. The award was presented by the Association for Computing Machinery (ACM) Special Interest Group on High Performance Computing (SIGHPC). More information is available here.
Best Paper - Integrating ORNL’s HPC and Neutron Facilities with a Performance-Portable CPU/GPU Ecosystem: The Extreme-Scale Experiment-in-the-Loop Computing (XLOOP) Program Committee selected Integrating ORNL’s HPC and Neutron Facilities with a Performance-Portable CPU/GPU Ecosystem for the Best Paper Award. More information is available here.
SC24 also featured a Julia tutorial on the Julia Language for Productive High Performance Computing and a Birds of a Feather session on Julia for HPC.
JuliaEO - Earth Observation Using Julia January 6-10 (Terceira, Azores): The JuliaEO Global Workshop 2025 features surrogates of climate models developed in conjunction with the Julia community, along with connections of data science and mapping groups for satellite data. “The JuliaEO Global Workshop 2025, co-organized by the AIR Centre and the United Nations Conference on Trade and Development (UNCTAD), will take place from January 6-10 in a hybrid format, hosted both in Terceira Island (Azores) and online. This workshop is designed to enhance the computer programming skills of professionals working in Earth Observation. To stimulate collaboration beyond the training, the complete workshop will be held in person. However, due to the high level of interest, remote participation will also be possible. Remote attendees will be able to watch the sessions live, and active participation will be possible but limited to text chat. The topics covered include acquisition, processing, visualization, and classification of Earth Observation data, using the Julia programming language. The training workshop will emphasize practical activities including the use of datasets, libraries/packages, automated workflows, Artificial Intelligence (AI), and classification algorithms. Theory-oriented sessions will introduce the concepts and hands-on activities.” Click here to access the full program.
Solving Inverse Problems and Scientific Machine Learning (SciML) at Geilo Winter School (Norway): Geilo Winter School takes place in Geilo, Norway January 19-24. Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) leads a workshop on Solving Inverse Problems with Julia’s SciML. Click here for more information.
JuliaHub Participates in Defense Advanced Research Projects Agency (DARPA)’s Automating Scientific Knowledge Extraction and Modeling (ASKEM) Program: Innosphere Ventures hosted Defense Advanced Research Projects Agency (DARPA)’s Automating Scientific Knowledge Extraction and Modeling (ASKEM) program last week. “With a major initial use case in climate modeling, ASKEM has the potential to revolutionize scientific modeling. ‘The way we have previously built models and connected them to data was very bespoke,’ explained Chris Rackauckas from MIT/JuliaHub, ‘Now that models are everywhere, we have to get more efficient at connecting them with data. Once we can do this, experts in all fields will be able to access the power of high-fidelity modeling.’”
JuliaCon 2025 Call for Minisymposia Proposals: JuliaCon 2025 will be in Pittsburgh July 21-26, and the Call for Minisymposia Proposals is open now. Click here for more information and click here to submit a minisymposium proposal.
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.
What’s Driving the Next Big Leap in Battery Innovation?: What’s Driving the Next Big Leap in Battery Innovation? is a new blog post from JuliaHub’s Jasmine Chokshi based on Sebastian Micluța-Câmpeanu’s 2024 JuliaCon presentation. Click here for more.
New Julia Podcast: Julia Dispatch is a new Julia podcast from Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) and Dr. Michael Tiemann. Click here to watch. Recent episodes include:
Julia Release Announcements: Julia 1.10.7 and 1.11.2 are now available. Click here for the latest release announcements.
Postdoc Researcher Position in Oxford, UK: The Topos Institute seeks qualified applicants for a Postdoc Researcher position in Models as Structured Data, based in Oxford, UK. Click here for more information and click here to apply.
JuliaCon 2024 Videos on YouTube: At least 249 (out of 330+) JuliaCon 2024 presentations have already been uploaded to YouTube, and more are being uploaded every week. Click here to watch.
JuMP-dev 2024 Videos on YouTube: JuMP-dev 2024 videos are also available on YouTube. Click here to watch. More information about JuMP-dev 2024 is available here.
JuliaHub Consulting Services: Would your organization benefit from a 100x increase in simulation speeds? Dyad (Formerly JuliaSim) might be the solution you need. Click here for more information about Dyad (Formerly JuliaSim), and to contact us to learn how Dyad (Formerly JuliaSim) 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.
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 and JuliaHub in the News
Analytics Insight: Fortran in AI: Is It Still Useful in Scientific Computing?
Analytics Insight: Data Science Curriculum Updates: What’s New in 2025
The Next Hint: Top 10 Data Science Tools to Use in 2025
Julia Blog Posts
What’s Driving the Next Big Leap in Battery Innovation? (Jasmine Chokshi)
These Languages are Accumulating (Jonathan Carroll)
Querying the Bluesky API (Frames White)
Exploring High-Performance Data Analytics in Julia Using DataFrames.jl: A Guide to SQL-Like Queries (Manu Francis)
Julia’s Amazing Generics (Emma Boudreau)
Olive Highlighters And Marked Improvements To Everything (Emma Boudreau)
Julia’s Strings Compared To Python’s Strings (Emma Boudreau)
Web Development For Data Scientists (Emma Boudreau)
Incredibly Easy Parallel Processing In Julia (Emma Boudreau)
How To Build A UDP Messaging App In Julia (Emma Boudreau)
Julia Has Amazing Indexing (Emma Boudreau)
We’re Back On Olive — Chifi Update THANKSGIVING 2024 (Emma Boudreau)
An Incremental Build To My NAS Application (Emma Boudreau)
Python To Julia For Data Scientists (Emma Boudreau)
7 Things You Need To Know About Arrays In Julia (Emma Boudreau)
New Releases And More (Emma Boudreau)
Python is No More the King of Data Science (My Equation)
Super Simple Generative Adversarial Networks (GANs) Using JuliaLang (Alex Mantzaris)
Setting Loan Interest Rates with Julia — Part I (Gil Junqueira)
Computing Attention Weights for All Input Tokens (Alex Tantos)
How to Create a Julia Package from Scratch (Great Lakes Consulting)
Upcoming Julia and JuliaHub Events
Orlando: American Institute of Aeronautics and Astronautics (AIAA) SciTech Forum with JuliaHub January 6-10
Terceira: JuliaEO Global Workshop 2025 January 6-10
Geilo: Solving Inverse Problems with Julia’s SciML at Geilo Winter School with Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) January 19-24
Pittsburgh: JuliaCon 2025 with JuliaHub July 21-26
Recent Julia and JuliaHub Events
Online: Julia for Engineers: Part 2 - Modeling Workshop with David Dinh (JuliaHub Sales Engineer) December 6
Online: Modern CI/CD Machine Learning Workflows Using Julia with Dhairya Gandhi (JuliaHub Data Scientist) December 11
Contact Us
Please contact us if you want to:
Learn more about JuliaHub, Dyad (Formerly JuliaSim), Pumas, PumasQSP or CedarEDA
Obtain pricing for Julia consulting projects for your organization
Schedule Julia training for your organization
Share information about exciting new Julia case studies or use cases
Spread the word about an upcoming online or offline event involving Julia
Partner with JuliaHub to organize a Julia event online or offline
Submit a Julia internship, fellowship or job posting
About JuliaHub and Julia
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.
