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 and other languages.
AWS provides the world’s largest cloud environment, which means that deep learning using Julia and MXNet is now available for more than 1 million businesses that use AWS.
You can learn more about MXNet.jl by clicking here, or visit our Website to learn about Julia’s deep learning and GPU capabilities.
Julia Computing was founded in 2015 by the co-creators of the Julia language to provide support to businesses and researchers who use Julia, the fastest modern open source programming language for data and analytics.
Julia combines the functionality of quantitative environments such as Python and R with the speed of production programming languages like Java and C++ to solve big data and analytics problems. Julia delivers dramatic improvements in simplicity, speed, capacity and productivity.
Julia users and partners include: IBM, Intel, DARPA, Lawrence Berkeley National Laboratory, National Energy Research Scientific Computing Center (NERSC), Federal Aviation Administration (FAA), MIT Lincoln Labs, Moore Foundation, Nobel Laureate Thomas J. Sargent, Federal Reserve Bank of New York (FRBNY), Brazilian National Development Bank (BNDES), BlackRock, Conning, Berkery Noyes, BestX and many of the world’s largest investment banks, asset managers, fund managers, foreign exchange analysts, insurers, hedge funds and regulators. Julia is being used to analyze images of the universe and research dark matter, drive parallel computing on supercomputers, diagnose medical conditions, manage 3D printers, build drones, improve air safety, provide analytics for foreign exchange trading, insurance, regulatory compliance, macroeconomic modeling, sports analytics, manufacturing and much, much more.
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