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Topic: Profiling Bitcoin users with artificial intelligence : Our proof of concept (Read 155 times)

jr. member
Activity: 50
Merit: 12
https://github.com/straumat/
no employer Smiley We are a startup and we don't have client for the moment, it's just a POC Smiley

We plan to sell it  as a SassS Solution even if we made some part Open Source like https://github.com/straumat/blockchain2graph

No IPO. I love bitcoin but i'm not very fond of the ICO idea

As for the scary part, like Bitcoin, our solution can be used for good and for bad. The good point I'm seeing is that we can say regulation is not needed for bitcoin as tools like blockchain inspector exists
hero member
Activity: 1638
Merit: 756
Bobby Fischer was right
So...who is your employer, CIA, NSA?  Grin just joking. This looks advanced and a little scary to be honest.
What is going to be your distribution model for the completed app? I'm assuming its not going to be made as freeware.
What is the plan to make money out of it than? I don't see any mentions about ICO's, imo that's a good thing, sphere is oversaturated right now.

One click less: https://github.com/straumat/bci-poc - The tool download
                    https://github.com/straumat/bci-poc/blob/master/README.md - How to run it.
jr. member
Activity: 50
Merit: 12
https://github.com/straumat/
Blockchain Inspector POC, has been released. You can access it through this link : https://medium.com/@bci_corporate/profiling-bitcoin-users-with-artificial-intelligence-our-proof-of-concept-33c3ad08884

Thanks to our own ten-year-old Artificial Intelligence engine, we allow you to profile bitcoin users. The key advantage of our solution is that it can easily translates human reasoning into rules and in so doing can transpose the experience of experts into a computer system capable of processing very large amounts of data.

The idea is to allow any human expert to transform its reasoning into automatic reasoning and allow him to specify the associated calculated uncertainty. The hypothesis made by the system could be vaque (“expensive”), inaccurate (“between x and y”), error prone (“x with 5% error”) and also specify that the validity is not completely true and completely false (‘90% of time”).

Feel free to contact us at [email protected]
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