Re:Ideas to monetize new artifical intelligence
by marcus on Tuesday November 13, 2007 @10:46AM
(#79269)
Thought about patenting it, but the entire idea of a patent is the ability to enforce a monopoly.
I will never be able to inspect the insides of any commercial AI in the field, so as to allege an infringement on my patent.
Re:Ideas to monetize new artifical intelligence
by ivankirigin on Tuesday November 13, 2007 @11:26AM
(#79303)
Do not do this. Patents are not good protection, and a good enough algorithm is much better kept a secret.
Re:Ideas to monetize new artifical intelligence
by tx on Tuesday November 13, 2007 @02:54PM
(#79457)
This is what's wrong with our patent system. Imagine if all those great minds who came up with theorems you had to learn in 4-6 years of college decided to patent them.
Math should not be patentable. It's a crime.
Re:Ideas to monetize new artifical intelligence
by marcus on Tuesday November 13, 2007 @03:36PM
(#79479)
Actually most of them have been dead for a long time so it wouldn't really matter, but I agree with you some things should not be patentable.
On the other hand imagine a world without patents and you'd probably get a world fill with trade secrets and that is even worse, at least a patent guarantees that the idea will pass to the public domain after a certain period. Would the world benefit if technology was segmented and kept secret like the coca-cola formula?
But seriously that is a great discussion for different thread.
Re:Ideas to monetize new artifical intelligence
by rms on Wednesday November 14, 2007 @01:48AM
(#79681)
At least patents are only 20 years, copyright is forever.
Re:Ideas to monetize new artifical intelligence
by marcus on Wednesday November 14, 2007 @04:57AM
(#79707)
Copyright isn't forever. It originally expired 17 years after the death of the author. Unfortunately Disney pushed for extension of copyrights every time their key copyrights (Micky mouse & friends) were about to expire and have been able to push extending them quite unreasonably.
PS: Many machine learning systems can trade off accuracy for efficiency so you might look into increasing efficiency vs. accuracy for some existing application.