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Julia Computing Awarded $910,000 Grant by Alfred P. Sloan Foundation, Including $160,000 for STEM Diversity
26 Jun 2017 | Andrew Claster
Cambridge, MA – Julia Computing has been granted $910,000 by the Alfred P. Sloan Foundation to support open-source Julia development, including $160,000 to promote diversity in the...
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Julia Computing Raises $4.6M in Seed Funding
19 Jun 2017 | Andrew Claster
Berkeley, California – Julia Computing is pleased to announce seed funding of $4.6M from investors General Catalyst and Founder Collective. Julia Computing CEO Viral Shah says, “We...
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Julia Ranks Among Top 10 Programming Languages Developed on GitHub
25 May 2017 | Andrew Claster
Cambridge, MA – Julia ranks as one of the top 10 programming languages developed on GitHub as measured by the number of stars and forks. GitHub users...
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Inference Convergence algorithm in Julia - revisited
15 May 2017 | Jameson Nash
Adventures in Type Inference Convergence: 2017 edition Corrected Convergence In my last post on type inference convergence, I described a correct inference algorithm. However, while this was...
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Rhisco Group partners with Julia Computing
02 May 2017 | Julia Computing
Rhisco Group and Julia Computing are delighted to announce a new partnership to collaborate in providing solutions in the regulatory risk and capital space. As a highly-specialised...
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Wilmott - Automatic Differentiation for the Greeks
26 Apr 2017 | Julia Computing
Online quantitative finance magazine Wilmott featured Julia yet again. Julia Computing’s Dr. Simon Byrne and Dr. Andrew Greenwell engage the magazine readers in a solution they built...
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Julia at the Intel AI Day, Bangalore 2017
24 Apr 2017 | Rajshekar Behar
Bengaluru, India - Julia Computing featured at one of India’s most prominent AI conferences, demonstrating two very powerful Deep Learning use cases the company is trying to...
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BlackRock’s Julia-Powered Aladdin Platform Featured in New York Times
29 Mar 2017 | Julia Computing
New York, NY – BlackRock’s Julia-powered Aladdin analytics and risk management platform was featured in yesterday’s New York Times in an article titled “At BlackRock, Machines Are...
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Julia in Finance Seminar in London on the 16th of March
02 Mar 2017 | Julia Computing
Julia Computing invites you to the Julia in Finance Seminar in London on the 16th of March, organised in association with the CQF Institute. This event will...
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JuliaPro Featured in Danske Bank’s Business Analytics Challenge 2017
21 Feb 2017 | Julia Computing
Copenhagen, Denmark – Danske Bank, Denmark’s largest bank, announced that JuliaPro will be available on Microsoft Azure’s Data Science Virtual Machine (DSVM) for participants in the Business...
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Finding ioctls with Clang and Cxx.jl
21 Feb 2017 | Keno Fischer
Among the more popular tools in the linux debugging toolbox is strace, which allows users to easily trace and print out all system calls made by a...
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Parallel Neural Styles on Video Powered by Azure
17 Feb 2017 | Ranjan Anantharaman
The above video was generated with the help of an algorithm called Neural Styles. It is an algorithm based on neural networks that is used to learn...
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Julia Used to Win Industrial Internet of Things (IIoT) Hackathon
08 Feb 2017 | Julia Computing
Graz, Austria – Julia Computing is pleased to congratulate Tangent Works on winning the Industrial Internet of Things (IIoT) hackathon using Julia. The IIoT hackathon was centered...
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Julia on Microsoft Azure - JuliaPro Added to Windows Data Science Virtual Machine (DSVM)
08 Feb 2017 | Julia Computing
Redmond, WA – Microsoft has added JuliaPro to Windows Data Science Virtual Machine (DSVM), making it available on Microsoft Azure. Julia is now available for the first...
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Wilmott - Why Julia Matters for Computational Finance
08 Feb 2017 | Julia Computing
In the November 2016 issue of Wilmott Magazine, Julia Computing’s Viral Shah and Simon Byrne explain why Julia is taking the field of quantitative finance by storm....
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Newsletter 2017
03 Feb 2017 | Julia Computing
We wanted to thank all Julia users and well wishers for the support and for being part of the Julia Community, and to give an update on...
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Julia, The New Tech Skill Companies Demand in 2017
18 Jan 2017 | Julia Computing
New York, NY – What do the following companies and organizations all have in common? Apple, Amazon, Facebook, BlackRock, Ford, Oracle, Comcast, Massachusetts General Hospital, Farmers Insurance,...
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Julia Live Online Training – Thursday, January 26, 2017
17 Jan 2017 | Julia Computing
Julia Computing is pleased to announce a new live Julia training course being taught online on Thursday, January 26, 2017 from 8-11 am EST. This live online...
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INFORMS Computing Society (ICS) Awards 2016 Prize for Julia JuMP Package for Optimization
15 Dec 2016 | Julia Computing
Nashville, TN – Julia Computing is pleased to congratulate Iain Dunning, Joey Huchette and Miles Lubin for winning the 2016 INFORMS Computing Society (ICS) Prize for the...
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Neural Style Transfer in Julia on GPUs
13 Dec 2016 | Ranjan Anantharaman
Have you ever wondered how the app Prisma manages to turn your photos into impressionist paintings? They use, amongst other things, a special type of algorithm called...
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Amazon Web Services Announces MXNet Is “Framework of Choice” for Deep Learning Using Julia and Other Languages
06 Dec 2016 | Julia Computing
Las Vegas, NV – Amazon Web Services announced at this week’s AWS re:Invent 2016 conference that MXNet is the framework of choice for deep learning using Julia...
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Julia for Astronomy - Parallel Computing with Julia on NERSC Supercomputer Increases Speed of Image Analysis 225x
28 Nov 2016 | Julia Computing
Berkeley, CA – Researchers from Julia Computing, UC Berkeley, Intel, the National Energy Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratory, and [email protected] have developed a...
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Julia Day for Finance in New York on November 30
22 Nov 2016 | Julia Computing
New York, NY – Julia Computing is pleased to announce Julia Day for Finance in New York on Wednesday, November 30 from 3:30-6:30 pm at Fitch Learning...
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Julia Computing and IBM Present Julia for Deep Learning at SC16
18 Nov 2016 | Julia Computing
Salt Lake City, Utah – Julia Computing and IBM presented Julia for Deep Learning at SC16, the world’s largest supercomputing conference held this week in Salt Lake...
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Deep Learning in Julia to Detect Diabetic Retinopathy on IBM POWER8 + NVIDIA GPUs
16 Nov 2016 | Ranjan Anantharaman and Viral Shah
Deep Learning is now ubiquitous in the machine learning world. In this blog post, we explore the use of Julia for deep learning experiments on IBM POWER8...
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WatersTechnology Article on Julia in Finance and Economics
10 Nov 2016 | Julia Computing
Just in time for Julia Computing’s first annual Julia Day for Finance in New York on November 30 (register here), Julia is featured in this month’s WatersTechnology,...
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Julia Day in New York on Nov 30th
01 Nov 2016 | Julia Computing
Julia Computing invites you to the first Julia Day in New York. This event will introduce you to Julia, the easy-to-learn high-performance mathematical programming language that is...
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Finding Correlations in Data with Julia and NAG
20 Oct 2016 | Reid Atcheson and Andy Greenwell
The Numerical Algorithms Group (NAG) and the NAG Library Introduction The Numerical Algorithms Group (NAG) provides expertise in numerical engineering, by delivering high-quality computational software, consulting services...
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An Introduction to Machine Learning in Julia
28 Sep 2016 | Abhijith Chandraprabhu and Ranjan Anantharaman
Introduction Machine learning is now pervasive in every field of inquiry and has lead to breakthroughs in various fields from medical diagnoses to online advertising. Practical machine...
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Julia Enters Top 50 Programming Languages
12 Sep 2016 | Julia Computing
Julia has taken its place among the top 50 computer programming languages, according to the TIOBE Programming Community Index, an index of the world’s most popular programming...
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GPU Programming in Julia
09 Jun 2016 | Ranjan Anantharaman
Scientific problems have been traditionally solved with powerful clusters of homogeneous CPUs connected in a variety of network topologies. However, the number of supercomputers that employ accelerators...
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STAC-A2 Benchmark
25 May 2016 | Andy Greenwell
Julia Computing has recently completed an initial implementation of the STAC-A2 benchmark. STAC-A2 is an industry standard benchmark suite for testing compute-intensive analytic workloads for options pricing...
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A Parallel Recommendation Engine in Julia.
22 Apr 2016 | Abhijith Chandraprabhu
Introduction Recommender systems play a pivotal role in various business settings like e-commerce sites, social media platforms, and other platforms involving user interaction with other users or...
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Inference Convergence algorithm in Julia
04 Apr 2016 | Jameson Nash
Adventures in Type Inference Convergence This work was carried out as part of a grant received from the Gordon and Betty Moore Foundation’s Data Driven Discovery Initiative....
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Implementing Unums in Julia
29 Mar 2016 | Simon Byrne
Unums This work was funded by the A*CRC and carried out in collaboration with Dr. John Gustafson and Dr. Marek Michalewicz. It was presented at the SuperComputing...
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Transpiling Julia to C – The LLVM-CBackend
10 Mar 2016 | Jameson Nash
Julia Computing carried out this work under contract from the Johns Hopkins University Applied Physics Laboratory (JHU APL) for the Federal Aviation Administration (FAA) to support its...
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Static and Ahead of Time (AOT) compiled Julia
09 Feb 2016 | Jameson Nash
On running Julia code without a JIT Julia Computing carried out this work under contract from the Johns Hopkins University Applied Physics Laboratory (JHU APL) for the...
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Introducing the Eclipse Julia plugin – JuliaDT
06 Feb 2016 | Taimur el-Halawani
JuliaDT is an alpha release of an Eclipse-based IDE for Julia. Current trends in Big Data and Data Science make Julia a natural choice when tackling the...
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Statistics roadmap
14 Jan 2016 | Simon Byrne
Julia Computing has recently received funding from the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative. One of the main components of this project is to improve...
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