Filed under: ANNs

The Curious Case of Artificial Intelligence

Did you know that the first Matrix was designed to be a perfect human world? Where no one suffered, where everyone would be happy. It was a disaster. No one would accept the program, entire crops were lost. Some belived that we lacked the programming language to describe your perfect world...But I belive, that as a species, human beings define their reality though misery and suffering. - Agent Smith, The Matrix
This is probably the best way to define the human case. Infact, it is the best way to define the case of any sentient species. It is not our advances that define us, but our failures and imperfections. Today, my friend and i were having a very animated discussion on Artificial Intelligence at office. He spoke of AI agents and fuzzy logic and i was going on and on about the powers and shortcomings of the Artificial Neural Networks. All that talk led us to how technology and science has advanced to some very brilliant leads in this vast and illusive field, which encompasses Computational Theory, Biology, The study of the Brain, Psychology and Mathematics. However, very soon we started talking about what is yet to be done and we soon came to a common conclusion: there is no point in understanding and studying artificial intelligence, if the final aim of the subject is to emulate human/animal thinking. Why? Simply because of the fact that human thinking is about how we make mistakes and recover from them, not how brilliant we are at coming up with the best algorithms and solutions. You ought to study Natural Stupidity instead of Artificial Intelligence to really get a grasp of how human beings think.

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Public Key Cryptography using ANNs

Well, i took this post as a chance to show some of my undergraduate work i did. This was a part of my curriculum and it was one of the First things i really really like working on. But before i give you the link, let me brief you on what the whole thing was all about. ANNs or Artificial Neural Networks are an attempt to capture the neural nets of sentient beings. Its final purpose in my opinion is to model the Human neural network and finally the Human Brain leading to a better understanding of how things work. What they are has been given in the presentation that is to follow. What they do is actually quite simple: they learn.

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