Ai Dreams Forum
Robotics => Robotics News => Topic started by: Tyler on September 07, 2018, 12:00:02 pm
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MIT-created programming language Julia 1.0 debuts (http://news.mit.edu/2018/mit-developed-julia-programming-language-debuts-juliacon-0827)
27 August 2018, 7:40 pm
After years of tinkering, the dynamic programming language Julia 1.0 was officially released (https://julialang.org/blog/2018/08/one-point-zero) to the public during JuliaCon (http://juliacon.org/2018/), an annual conference of Julia users held recently in London.
The release of Julia 1.0 is a huge Julia milestone since MIT Professor Alan Edelman, Jeff Bezanson, Stefan Karpinski, and Viral Shah released Julia to developers (http://julialang.org/blog/2012/02/why-we-created-julia) in 2012, says Edelman.
“Julia has been revolutionizing scientific and technical computing since 2009,†says Edelman, the year the creators started working on a new language that combined the best features of Ruby, MatLab, C, Python, R, and others. Edelman is director of the Julia Lab at MIT (https://julia.mit.edu/) and one of the co-creators of the language at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL).
Julia, which was developed and incubated at MIT, is free and open source, with more than 700 active open source contributors, 1,900 registered packages, 41,000 GitHub stars, 2 million downloads, and a reported 101 percent annual rate of download growth. It is used at more than 700 universities and research institutions and by companies such as Aviva, BlackRock, Capital One, and Netflix.
At MIT, Julia users and developers include professors Steven Johnson, Juan Pablo Vielma, Gilbert Strang, Robin Deits, Twan Koolen, and Robert Moss. Julia is also used by MIT Lincoln Laboratory and the Federal Aviation Administration to develop the Next-Generation Airborne Collision Avoidance System (ACAS-X) (https://juliacomputing.com/case-studies/lincoln-labs.html), by the MIT Operations Research Center to optimize school bus routing for Boston Public Schools (http://online.wsj.com/public/resources/documents/print/WSJ_-A002-20170812.pdf), and by the MIT Robot Locomotion Group for robot navigation and movement (https://juliacomputing.com/case-studies/mit-robotics.html).
Julia is the only high-level dynamic programming language in the “petaflop club (https://www.hpcwire.com/off-the-wire/julia-joins-petaflop-club/),†having achieved 1.5 petaflop/s using 1.3 million threads, 650,000 cores and 9,300 Knights Landing (KNL) nodes to catalogue 188 million stars, galaxies, and other astronomical objects in 14.6 minutes (https://juliacomputing.com/case-studies/celeste.html) on the world’s sixth-most powerful supercomputer.
Julia is also used to power self-driving cars (https://juliacomputing.com/case-studies/barc.html) and 3-D printers (https://juliacomputing.com/case-studies/voxel8.html), as well as applications in precision medicine, augmented reality, genomics, machine learning, and risk management.
“The release of Julia 1.0 signals that Julia is now ready to change the technical world by combining the high-level productivity and ease of use of Python and R with the lightning-fast speed of C++,†Edelman says.
Source: MIT News - CSAIL - Robotics - Computer Science and Artificial Intelligence Laboratory (CSAIL) - Robots - Artificial intelligence (http://news.mit.edu/rss/topic/robotics)
Reprinted with permission of MIT News : MIT News homepage (http://news.mit.edu/)
(https://aidreams.co.uk/forum/graphics/misc/mit_logo.jpg)
Use the link at the top of the story to get to the original article.
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I am getting the impression that, although designed for scientific computations and data science, Julia might prove itself on other grounds including acting as a functional playground for advanced machine learning concepts, due to its Metaprograming capabilities.
https://docs.julialang.org/en/v1/manual/metaprogramming/ (https://docs.julialang.org/en/v1/manual/metaprogramming/)