Julia Computing Co-Founder and CTO (Tools) Keno Fischer spoke with Robin.ly about Julia, Julia Computing, and how a 16 year-old German exchange student became a 19 year-old co-founder of Julia Computing.
The video interview, Developing the Programming Language of the Future, is available on Robin.ly, Spotify, Apple Podcast and Google Podcast.
Robin.ly is a popular video podcast focused on artificial intelligence, machine learning and other cutting-edge technology.
Cambridge, MA – JuliaTeam from Julia Computing is now available for purchase on Amazon Web Services (AWS) Marketplace.
JuliaTeam is an enterprise solution from Julia Computing that makes it easy and safe for developers, data scientists and IT managers to install and manage public and private packages, adhere to enterprise governance policies, deploy and scale applications, manage licenses and set up continuous integration.
The benefits of JuliaTeam include:
Julia co-creator and Julia Computing co-founder and CEO Viral Shah explains, “JuliaTeam helps bring the power of the world’s fastest high-performance open source dynamic computing language to enterprises worldwide. Hundreds of companies deploy Julia in production today for mission-critical tasks, and JuliaTeam makes it possible for them to put Julia to work more efficiently and effectively than ever before.”
More information about JuliaTeam is available here, and JuliaTeam on AWS can be purchased here.
About Julia and Julia Computing
Julia is the fastest high-performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and other scientific and numeric computing applications. 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 more than 10 million times and is used at more than 1,500 universities. Julia co-creators are the winners of the 2019 James H. Wilkinson Prize for Numerical Software and the 2019 Sidney Fernbach Award. Julia has run at petascale on 650,000 cores with 1.3 million threads to analyze over 56 terabytes of data using Cori, one of the ten largest and most powerful supercomputers in the world.
Julia Computing was founded in 2015 by all the creators of Julia to provide products including JuliaTeam, JuliaSure and JuliaRun to businesses and researchers using Julia.
Los Alamitos, CA – IEEE Computer Society has selected Julia Computing Chief Scientist Alan Edelman as the winner of the prestigious Sidney Fernbach Award for co-creation of Julia and other ‘outstanding breakthroughs’.
According to IEEE Computer Society, Edelman received the award “for outstanding breakthroughs in high-performance computing, linear algebra and computational science, and for contributions to the Julia programming language.”
Professor Edelman is co-creator of Julia, co-founder and Chief Scientist at Julia Computing, Professor of Applied Mathematics at MIT and leads the Julia Lab at MIT.
About Julia and Julia Computing
Julia is the fastest high-performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and other scientific and numeric computing applications. 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 more than 10 million times and is used at more than 1,500 universities. Julia co-creators are the winners of the 2019 James H. Wilkinson Prize for Numerical Software and the 2019 Sidney Fernbach Award. Julia has run at petascale on 650,000 cores with 1.3 million threads to analyze over 56 terabytes of data using Cori, one of the ten largest and most powerful supercomputers in the world.
Julia Computing was founded in 2015 by all the creators of Julia to provide products including JuliaTeam, JuliaSure and JuliaRun to businesses and researchers using Julia.