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

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

• jl v6.6.0: Sparse Jacobian Coloring, Quantum Computer ODE Solvers, and Stiff SDEs

• Julia SoC '19: Quantum Algorithms for Differential Equations (Divyanshu Gupta)

• My GSoC with JuliaDiffEq - 1 (Kanav Gupta)

• Julia Season of Contributions Blog #1 (Yash Raj Gupta)

• The Principles of Images.jl: Part I (Johnny Chen)

• Hello @DiffEqBot (Kanav Gupta)

• Why You Shouldn't Use Euler's Method to Solve ODEs (Chris Rackauckas)

• Deep Learning: Exploring High Level APIs of Knet.jl and Flux.jl in Comparison to TensorFlow-Keras (Al-Ahmadgaid B. Asaad)

• Declustered Statistics (Júlio Hoffimann)

• Generated Constant Propagation; Hold On to Your Britches! (Jacob Quinn)

• Tricksy Tuple Types (Jacob Quinn)

• Uncertainty Propagation and High-Dimensional Indexing in Julia (Michiel Stock)

Upcoming Julia Events

• Cambridge, UK: First Cambridge Julia Meetup with Lyndon 'Frames' White (Invenia Labs), Avik Sengupta (Julia Computing) and the London Julia User Group at Invenia Labs July 3

• Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney July 3

• Hong Kong: RISE Conference with Viral Shah (Julia Computing) at Hong Kong Exhibition Centre July 8-11

• London: European Conference on Object-Oriented Programming (ECOOP) Curry On July 15-19

• Baltimore: JuliaCon 2019 at University of Maryland, Baltimore July 22-26

• Delhi: PyData Delhi with Keynote by Viral Shah (Julia Computing) at Indraprastha Institute of Information Technology Aug 3-4

• Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Aug 7

• Bangalore: Open Data Science Conference (ODSC) with Viral Shah (Julia Computing) Aug 7-10

• State College, PA: International Association for Mathematical Geosciences (IAMG) Annual Conference Featuring Geostatistics with GeoStats.jl Aug 10-16

• Sydney: Data Science & Analytics Using Python, R, Julia + More with PyData Sydney Sept 4

• Orlando: American Conference on Pharmacometrics (ACoP10) with Viral Shah and Andreas Noack (Julia Computing) Oct 20-23

• London: Open Data Science Conference (ODSC) with Avik Sengupta (Julia Computing) Nov 19-22

Recent Julia Events

• Cork: An Introduction to the Julia Programming Language with Avik Sengupta (Julia Computing) and Cork R-Users Group June 11

• Boulder: Julia Meetup with Boulder Data Science, Machine Learning & AI at Galvanize Boulder June 13

• Zurich: Intro to Julia with Zurich Julia User Group at ETH Zurich June 13

• Nantes: JuliaDay - Journée Julia et Optimisation with Mathieu Besançon (Centrale Lille et Polytechnique Montréal), Xavier Gandibleux (Université de Nantes) and François Vanderbeck (Atoptima) at l'Université de Nantes June 17

• Cambridge, MA: jl: The Turing Language for Probabilistic Programming with Kai Xu, Viral Shah (Julia Computing) and Cambridge Area Julia Users Network (CAJUN) June 21

• London: Computational Biology and ML Interop with Malcolm Sherrington, Avik Sengupta (Julia Computing) and the London Julia User Group at Microsoft Reactor June 25

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.

• Barcelona: Barcelona Julia Meetup (109 members)

• Berlin: Julia Users Group (129 members)

• Boston: Cambridge Area Julia Users Network (CAJUN) (863 members)

• Bratislava: Julia Users Group Slovakia (7 members)

• Bucharest: Bucharest Julia Users Group (27 members)

• Budapest: Budapest Julia User Group (133 members)

• Campinas: Campinas Julia Language Meetup (100 members)

• Chicago: Midwest Julia Users (125 members)

• Cleveland: Greater Cleveland Python/Julia/R Data Science Group (552 members)

• Copenhagen: JuliaCPH (111 members)

• Detroit: SE-Michigan Julia Language Meetup (65 members)

• Dublin: Dublin Julia Users Group (368 members)

• León, México: León Julia Meetup (50 members)

• Lima: Julia Data Science Lima (119 members)

• London: London Julia User Group (779 members)

• Los Angeles: Southern California Julia Users (170 members)

• Luxembourg: BeNeLux Julia User Group (88 members)

• Melbourne: Julia Users Melbourne Meetup (23 members)

• Mexico City: JuliaLangEs - CDMX (430 members)

• New York: New York City Julia User Group (706 members)

• Orlando: Julia Lang Enthusiasts at Winter Park (8 members)

• Portland: Portland Julia Users (54 members)

• Prague: Prague Julia Programming Group (131 members)

• Raleigh: Triangle Julia Users (142 members)

• Rio de Janeiro: Rio de Janeiro Julia Meetup (50 members)

• Rosario, Argentina: Julia Rosario (50 members)

• San Francisco: Bay Area Julia Users (744 members)

• São Paulo: Julia Meetup São Paulo (106 members)

• Seoul: Korea Julia User Group (13 members)

• Singapore: Singapore Julia User Group (96 members)

• Sydney: Julia (JuliaLang) Sydney (348 members)

• Tokyo: JuliaTokyo (670 members)

• Vienna: Vienna Julia Meetup (169 members)

• Warsaw: Warszawskie Forum Julia (478 members)

• Zurich: Zurich Julia Users Group (128 members)

Julia Jobs, Fellowships and Internships

• Invenia Labs is hiring Julia developers for their Cambridge, UK and Winnipeg, Canada offices

• Mitsubishi Electric Research Labs in Cambridge, Massachusetts is looking to hire a Research Scientist / Principal Research Scientist - Multiphysical Systems

• Leuko is hiring Julia developers in Boston to improve outcomes for cancer patients

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:

• Purchase or obtain license information for Julia products such as JuliaAcademy, JuliaTeam, or JuliaPro

• 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 conference, workshop, training, hackathon, meetup, talk or presentation involving Julia

• Partner with Julia Computing to organize a Julia meetup, conference, workshop, training, hackathon, talk or presentation involving Julia

• Submit a Julia internship, fellowship or job posting

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.