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Newsletter August 2024 | WhatsApp Codec Prototyped in Julia

By JuliaHub | Aug 07, 2024

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WhatsApp Codec Prototyped in Julia: Have you noticed recent improvements in audio and visual quality when using WhatsApp? Julia may be part of the reason why. In a new presentation, Revamping Audio Quality for Real-Time Calling, Meta engineers Sriram Srinivasan, Jatin Kumar and Bikash Agarwalla describe how they used Julia for prototyping to improve WhatsApp audio and video call quality. Jatin Kumar explains, ‘Think of Julia as a powerful combination of MATLAB and Python, with an amazing collection of DSP libraries. It allows writing expressive code through first-class support for vector operations.’ The use of Julia is described in this video starting at 8 minutes, 15 seconds. Results and rollout are described at the end of the video.

National Renewable Energy Laboratory (NREL) Uses Julia to Fast-Track Hydrogen Supply Chain Infrastructure Deployment: According to Mark Chung, group manager for Infrastructure and Energy Storage Analysis at the National Renewable Energy Laboratory (NREL), “We recently made several upgrades to [the Scenario Evaluation and Regionalization Analysis model], including translating the tool into the Julia programming language which has drastically increased the model’s computational efficiency, whether run on a desktop or on NREL’s high-performance computer.”

Quarto 1.5 Now Includes Julia: Quarto 1.5 was just released, and ‘its most important update is the addition of Julia.’ Click here to learn more.

2024 Julia Community Prize: The winners of the 2024 Julia Community Prize have been announced. The Julia Community Prize honors those who have made important contributions to the Julia community. Winners receive a certificate of accomplishment and a cash award. This year’s winners are:

  • Guillaume Dalle, for contributions to the Julia ecosystem, including DifferentiationInterface and Modern Julia Workflows
  • Makie team (Simon Danisch, Julius Krumbiegel, Frederic Freyer and Anshul Singhvi), for contributions to Makie and improving interactive data visualization in Julia
  • JuMP team (Oscar Dowson, Benoît Legat and Miles Lubin), for their long-term commitment and contributions to JuMP

JuliaCon 2024: This year’s JuliaCon was the biggest and best yet, featuring more than 330 talks, presentations, posters and workshops, 600+ in-person attendees and thousands more online. Nearly all JuliaCon presentations will be available via the Julia YouTube channel.

New Free Online Julia Workshops from JuliaHub: JuliaHub is pleased to announce a new free online workshop series. The first workshop is Julia for Engineers: Part 1 - Algorithms with Dr. Matt Bauman, JuliaHub Director of Customer Success. This workshop will take place Friday, August 30 starting at 1 pm Eastern (US). Participation is free but space is limited and registration is required. Click here to register and for more information.

Free Webinars from JuliaHub: JuliaHub provides free one-hour Webinars on a variety of topics. Registration is free but space is limited. Click the link below to register, or watch past Webinars here.


This Month in Julia World: Click here for Stefan Krastanov’s monthly newsletter, This Month in Julia World, for more of the latest Julia news.

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. 

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 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:

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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.

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