JuliaHub Blog: Insights & Updates

JuliaCon 2024 Proposals | JuliaHub

Written by JuliaHub | Dec 18, 2023

JuliaCon 2024 - Proposals Due Jan 15: JuliaCon 2024 takes place from July 9-13 in Eindhoven, Netherlands. Workshops will take place Tuesday July 9, presentations Wednesday July 10 through Friday July 12 and the hackathon will be Saturday July 13. The call for proposals is open now and proposals are due by January 15.

JuliaHub 6.4: Announcing the Release of JuliaHub 6.4 explains many of the exciting, new and improved features available with the latest version of JuliaHub. These include Web app hosting, package use insights, improved merge, more info on jobs and pinned notebooks. More information is available in this blog post and in the release notes.

JuliaHub in Forbes India: Dr. Viral Shah (JuliaHub CEO, Co-Founder and Julia Co-Creator) describes the Julia journey in this one hour interview with Forbes India. Click here to watch.

Free Upcoming Webinars from JuliaHub: JuliaHub provides free Webinars covering a range of Julia topics. The Webinars are free but advance registration is required and space is limited. Please click the links below to register.

Webinar

Presenter

Date

Ingesting and Deploying Functional Mockup Units in JuliaSim

Dr. Ranjan Anantharaman, JuliaHub Sales Engineer

Wed Jan 10, 1-2 pm Eastern (US)

 

Free JuliaHub Webinar Archive: JuliaHub provides free access to more than 75 of our past Webinars. Recent Webinars include:

JuliaCon Local Eindhoven 2023: In addition to hosting JuliaCon 2024, Eindhoven also hosted the first JuliaCon local event on Dec 1. Click here for more details.

JuliaHub CEO and Co-Founder Dr. Viral Shah at DevPalooza 2.0 in Bangalore Jan 6: JuliaHub CEO and Co-Founder and Julia Co-Creator Dr. Viral Shah will be speaking at DevPalooza 2.0 in Bangalore on January 6. Click here to register.

JuliaHub Consulting Services: Would your organization benefit from a 100x increase in simulation speeds? JuliaSim might be the solution you need. Click here for more information about JuliaSim, and to contact us to learn how JuliaSim can help your business succeed.

ChatGPT Performs Better on Julia than Python (and R) for Large Language Model (LLM) Code Generation: ChatGPT Performs Better on Julia than Python (and R) for Large Language Model (LLM) Code Generation. Why? is a new blog post from Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation). Click here for more.

Generalizing Scientific Machine Learning and Differentiable Simulation Beyond Continuous Models: Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) presented Generalizing Scientific Machine Learning and Differentiable Simulation Beyond Continuous Models on November 23 as part of the Alan Turing Institute’s Phi-ML Meets Engineering series. Click here to watch.

Physics-Enhanced Deep Surrogates for Partial Differential Equations: Physics-Enhanced Deep Surrogates for Partial Differential Equations, co-authored by Dr. Chris Rackauckas (JuliaHub VP Modeling and Simulation) has been published by Nature Machine Intelligence. Click here for more.

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 let 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 video, “JuliaHub Is a Free Platform to Start Your Technical Computing Journey”, where he 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

Julia Blog Posts

Upcoming Julia and JuliaHub Events

Recent Julia and JuliaHub Events

Contact Us: Please contact us if you want to:

  • Learn more about JuliaHubJuliaSimPumasPumasQSP 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.