GNU Project Introduces Gneural Network AI Package (gnu.org)
jones_supa writes: The GNU free software project is introducing a new neural network computation package called Gneural Network. The GNU project has been impressed by the work of Google, IBM, AlphaGo and Watson on the field of artificial intelligence. However, the GNU project sees that the fact that only companies and labs have access to this technology can represent a threat: "First of all, we cannot know how money driven companies are going to use this novel technology. Second, this monopoly slows down Progress and Technology." This is why the author, Jean Michel Sellier, decided to create Gneural Network and release it under the GNU GPL license. In the current release (version number humbly set to 0.0.1), it is a very simple feedforward network which can learn very simple tasks such as curve fitting, but the development team plans to deliver more advanced features very soon. They are already spending efforts to implement a network of LSTM (long short term memory) neurons for recurrent networks and deep learning. Learning reinforcement techniques are also planned.
"However, the GNU project sees that the fact that only companies and labs have access to this technology can represent a threat"
That is not a fact at all. There are tons of open source neural network libraries and tools and even tons of open source neural network libraries that provide recurrent network and deep learning features. Just a 30 second search gives me this list:
http://deeplearning.net/softwa...
"a very simple feedforward network which can learn very simple tasks such as curve fitting"
This is NN101 stuff and I'm sure hundreds if not thousands of college students have made something similar.
Nothing to see here. Move along.
The only major difference between BSD and GPL licenses is that BSD allows open software to be closed, so really you're arguing in favour of closed software. Whatever are you doing on Slashdot?
But the illogic of your position runs deeper still. The whole point of TFA and of Gneural is to provide an open neural net because closed ones are already plentiful , so the only perceived "benefit" of BSD (using the term loosely) is precisely what Gneural is trying to balance. This makes your desire for BSD licensing so that even more proprietary software can be made totally miss the point of the project.
Well, they do need fresh blood to finish off GNU/Hurd, this is one way to get it...
The idea that "the fact that only companies and labs have access to this technology can represent a threat" is patently absurd. Theano, Caffe and Torch are all open source and even Google has open-sourced its Tensor Flow platform which makes it easy to build new tools and run then, fast, on all the GPUs you can find. If you need to do this at scale and you're not the size of Google or IBM you can use Amazon's Machine Learning for AWS. There are many, many higher level toolkits out there that are available under licenses that are much less restrictive than GPLv3.
If intelligent life is too complex to evolve on its own, who designed God?
If it's anything like the utter embarrassment of HURD (w.r.t. Linux kernel)
The HURD ceased to be a prority GNU project decades ago. The Linux kernel meets the FSF requirements (GPL) and so completes teh GNU operating system. What's left the the research project of a few people who want to see if they can make a super-unix with a microkernel.
That is not in any way shape or form embarressing.
I think GNU themselves are too slow, dumb and doctrinaire to ever produce anything of value or impact ever again.
I, for one want to see concepts in C++ as soon as possible. Gue'ss who's leading the charge on that one?
SJW n. One who posts facts.
Does anyone know how this is different from the other open source neural nets that exist?There have been tons of these over the last 40 years. AFAIK most of the algorithms originate in academia and stay there where open sourcing is the norm.
NN have been around for 40 years. Lots of people have built stuff already.
Mainly FSF is a political organization not a software shop. They did a lot of good work, and they failed on some projects. Lots of top quality people couldn't keep up with the Linux kernel no embarrassment in that. The person who gets the bronze in the olympics is not a failure.
The GNU project should do a bit more background research before starting new projects. Here are some links to open source deep learning tools. These are the same tools and libraries used by those "money driven companies" in their projects, including AlphaGo:
Caffe, widely used C++ deep learning framework.
Theano, widely used Python deep learning framework.
Torch, the software used by Google, AlphaGo and Facebook.
TensorFlow, Google's large scale machine learning framework.
CNTK, Microsoft's deep learning toolkit.
Well, they do need fresh blood to finish off GNU/Hurd, this is one way to get it...
I don't believe that GNU/Hurd was ever intended to be finished. I think the idea was to have a permanent Work In Progress.
Schroedinger's Brexit: The UK is both in and out of the EU at the same time!
Yeah, but you know, it is the Apache 2.0 opens source license. It is not good enough. Every developper shoud have its name on every newspaper headline for releasing its implementation of the first exercise of its machine learning course under the GPL. He want to put its library against actual behemoth who can do way more and are for some even GPU accelerated. I am sorry, but if the GNU project should promote such library only when it could be compared to other such libraries such as TensorFlow or any other currently available library. I really like the GNU project work, but on this one, they really hurt my feelings about them.
I miss the good old days where companies and people announced interesting things they've done rather than interesting things they're thinking of doing.
Given the amount of vaporware announcements I've seen over the past 30+ years, that's the stupidest thing I've read this month.
"I don't know, therefore Aliens" Wafflebox1
That is not in any way shape or form embarressing.
Even when you consider that several projects have already succeeded in replacing the Linux kernel with existing, proven microkernels?
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Even when you consider that several projects have already succeeded in replacing the Linux kernel with existing, proven microkernels?
Genuine question - citation please!
I am Slashdot. Are you Slashdot as well?
And Cafe, Theano and Torch 7 are open source and do even more.
There are a bunch of really good implementations, and several of them have nothing to do with companies, but do have an existing community developing them. This GNUish project doesn't seem to have any advantages and is arriving late to the game.
I miss the good old days where companies and people announced interesting things they've done rather than interesting things they're thinking of doing.
For someone reason I read the article and looked at the code. The project is under CVS. There is no neural network interface, only a main method with supporting code that creates one hard-coded NN. The serialization format of the NN is a custom, non-standard format which you have to manually scan and parse characters to read back in. Why write custom parses when you could more easily use xml, json, csv, ini, etc...?
You are totally missing the point here. By creating a FOSS based NN project, what they are actually setting in motion is a crowdsourced Genetic Algorithm (GA) that is designed to improve upon the actual NN product. Thus the NN solution you are complaining about is only the seed data for the GA process, and that this announcement is actually at the level of meta-programming the NN. You really need to come back in 10 years time to see whether the output of the GA is widely used or (most likely) is sitting in some corner of the inter webs, sporting the same festering level of code that you are seeing now.
To paraphrase an old adage.
The great thing about the internet is that anyone can create a FOSS style project.
The worst thing about the internet is that anyone can create a FOSS style project.
I am Slashdot. Are you Slashdot as well?
Of the top of my head K42 and a few L4 projects (Wombat/Iguana) does that. Don't know if calling it "replacing" is correct though.
The GPL is about the freedom of the user, not the developer. It is designed to ensure that users always have access to the source of software they run and any updates. There is no such guarantee from BSD or any other licence.
Even when you consider that several projects have already succeeded in replacing the Linux kernel with existing, proven microkernels?
Nobody has replaced Linux with a microkernel. Some people have run Linux as a service inside a microkernel, though.
What's left the the research project of a few people who want to see if they can make a super-unix with a microkernel.
Most people have realized that the answer is "no".
1990 called and wants its version control system back. I'd go poking around in their version control to at least determine the implementation language, but... nah.
I'm trying to teach myself to set people on fire with my mind... Is it hot in here?
That's Caffe. You won't get very far searching on Cafe, unless you're looking for a coffee shop. :)
Even when you consider that several projects have already succeeded in replacing the Linux kernel with existing, proven microkernels?
Right, so we're seeing those microkernels running all the world's supercomputers, a good fraction of the world's servers, a lot of routers and the majority of smartphones? Nope? Nope.
Nothing has replaced Linux.
SJW n. One who posts facts.
So soon I will be able to use this to help make my ultra-drone army even more effective at killing all the humans! Now I just need to perfect my human glucose-based power harvesting, and my biological harvested bioprinter!
No, you've misunderstood. To get Hurd working they literally need blood: like actual blood. Without signing the soul in the right way you cannot bind it into the software.
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I couldn't find the source code repository. It might just be because I am clueless on how to find them for GNU projects. Anyone devise the subversion or git or darcs or whatever it is location?
"Recursive bipartite matching"- try it!
It would be lovely to imagine that you're right. Unfortunately, the opposite has been true for at least a decade.
RMS won the code openness wars in the name of user freedoms, but now the corporations are taking back the land that was won, and they're doing so in the name of profit --- their own exclusive profit. In no case whatsoever do they allow communities or other companies to alter the course that that they have set for their own BSD or MIT-licensed software. Their code is not open in the sense that community software is open. It is not allowed to evolve to reflect user-oriented needs, but is very tightly controlled instead to meet their business goals alone. This is not the Bazaar, but the Cathedral.
Even the concepts of interoperation and federation that have been a sort of "Prime Directive" of the IETF Mission Statement have now been dismantled by the corporations, every one of them intent on making their own walled garden instead of defining federated services that interoperate freely. Openness is under attack on numerous fronts simultaneously, all in the name of profit.
BSD and MIT licenses are being used to deny community freedom over software instead of to extend it. RMS's idealism is needed now more than ever to balance the power of the corporations, who are most definitely not on our side.
No. The GPL is about freedom of the derivatives of the software. For the current incarnation/generation/instance of the software BSD is freer. The GPL guarantees that the derivative software will also be free.
Sometimes one is a better choice than the other, but neither is uniformly preferable.
I think we've pushed this "anyone can grow up to be president" thing too far.
Machine learning is software generated by statistical algorithms fit to lots of data. Without the training data, the algorithms alone are quite useless. Pre-trained networks are essentially closed source, because the source is the training data.
There's lots of open source code for this work already. It boils down to who has access to the data. Tesla can turn on autopilot to collect data from its entire fleet for millions of miles traveled. Google doesn't have a fleet, so it wants to collect so much data with Android Auto, automakers are walking away.
GNU, well, they've got some algorithms, just like everyone else.