Newsletter July 2019 - MIT researchers release Gen - a new Julia-based AI programming system

By JuliaHub | Jul 02, 2019

Gen, A New AI Programming System Based in Julia: MIT News reports that MIT researchers have used Julia to create Gen, a new probabilistic programming system with programmable inference. For more information, please read:

  • ZDnet: MIT: We’re Building on Julia to Open Up AI Coding to Novices

  • VentureBeat: MIT’s Gen Programming System Flattens the Learning Curve for AI Projects

  • MIT News: New AI Programming Language Goes Beyond Deep Learning

  • Analytics India: Meet Gen, A New AI Programming Language That Thrives On Automation, Flexibility And Speed

JuliaCon 2019: JuliaCon 2019 will be held July 22-26 at the University of Maryland, Baltimore.

JuliaCon is looking for sponsors. Sponsorship is available at several levels and benefits include prominent mention and logo placement at JuliaCon and in JuliaCon conference materials and Website, an opportunity to present to JuliaCon participants, presentation space during the conference and registration for JuliaCon attendees. Past JuliaCon sponsors include the Alfred P. Sloan Foundation, Microsoft, Maven, Invenia, Julia Computing, Capital One, Gordon and Betty Moore Foundation, Gambit Research, Tangent Works, Amazon, Alan Turing Institute, Jeffrey Sarnoff, EVN and Conning.

Models As Code - Differentiable Programming with Zygote: Viral Shah and Eliot Saba (Julia Computing) presented a Microsoft Research Talk on differentiable programming. Click here to view.

JuliaSure: JuliaSure is a new product from Julia Computing that features support and indemnification for your enterprise. Contact Julia Computing for more information and pricing.

JuliaTeam: JuliaTeam from Julia Computing enables enterprise governance, making it easy and safe to install Julia packages within your firewall, help administrators keep track of what packages and versions are in use and ensure that all your external dependencies are secure and up-to-date.

JuliaTeam enables you to:

  • Read and search docs for all internal and external packages in a single place

  • Create and manage private package registries

  • Publish and test private packages as easily as public ones, making sure new versions work seamlessly with all the other versions of packages that your teams are using

  • Benchmark your code to make sure it runs as efficiently as possible and stays fast

  • Download a summary of licenses of all the software you depend on

For more information, contact Julia Computing.

JuliaAcademy: Julia Computing's training offerings continue to expand. JuliaAcademy is the Julia Computing training platform for 3 types of learning: self-directed, online instructor-led and in-person onsite training.

JuliaAcademy courses include: Intro to Julia, Machine Learning and Artificial Intelligence in Julia, Parallel Computing in Julia, Deep Learning with Flux, Optimization with JuMP and Machine Learning with Knet.

JuliaAcademy provides:

  1. Self-directed training - all online, learn at your own pace

  2. Instructor-led online training - live two-day courses taught by Julia Computing instructors

  3. In-person training - contact us at info@juliacomputing.com to schedule customized in-person training for your organization

Julia in Excel Sheets, Deo: JuliaInXL provides two-way integration between Julia and Microsoft Excel. It is available within JuliaPro or as a standalone package.

Julia User and Developer Survey: More than 1,800 Julia users and developers responded to the first annual Julia User and Developer Survey. Respondents come from more than 90 countries. Results will be presented at JuliaCon 2019 and published online.

Julia and Julia Computing in the News

  • Funds Europe: Amundi Empowers Portfolio Managers with Advanced Coding Capabilities

  • InfoQ: Scaling Deep Learning to Petaflops and Beyond

  • NeoWin: Atom 1.38.2

  • PacktPub: Introducing Voila that Turns Your Jupyter Notebooks to Standalone Web Applications

Julia Blog Posts

Upcoming Julia Events

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Julia Meetup Groups: There are 35 Julia Meetup groups worldwide with 8,141 members. If there's a Julia Meetup group in your area, we hope you will consider joining, participating and helping to organize events. If there isn't, we hope you will consider starting one.

Julia Jobs, Fellowships and Internships

Do you work at or know of an organization looking to hire Julia programmers as staff, research fellows or interns? Would your employer be interested in hiring interns to work on open source packages that are useful to their business? Help us connect members of our community to great opportunities by sending us an email, and we'll get the word out.

There are more than 300 Julia jobs currently listed on Indeed.com, including jobs at Accenture, Airbus, Amazon, AstraZeneca, AT&T, Barnes & Noble, BlackRock, Capital One, CBRE, Charles River Analytics, Citigroup, Comcast, Conde Nast, Cooper Tire & Rubber, Disney, Dow Jones, Facebook, Gallup, Genentech, General Electric, Google, Huawei, Ipsos, Johnson & Johnson, KPMG, Lockheed Martin, Match, Mathematica, McKinsey, NBCUniversal, Netflix, Nielsen, Novartis, OKCupid, Opendoor, Oracle, Pandora, Peapod, Pfizer, Raytheon, Spectrum, Wells Fargo, Zillow, Brown, BYU, Caltech, Dartmouth, Emory, Harvard, Johns Hopkins, Louisiana State University, Massachusetts General Hospital, MIT, Penn State, Princeton, UC Davis, University of Chicago, University of Delaware, University of Kentucky, UNC-Chapel Hill, USC, University of Virginia, Argonne National Laboratory, Federal Reserve Bank, Lawrence Berkeley National Laboratory, Los Alamos National Laboratory, National Renewable Energy Laboratory, Oak Ridge National Laboratory, Pacific Northwest National Laboratory, State of Wisconsin and many more.

Contact Us: Please contact us if you wish to:

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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 9 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. 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 develop products and provide professional services to businesses and researchers using Julia.

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