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Julio 28th, 2008  español 

How near is the singularity?

Science Artificial Intelligence Video

Redes is a scientific divulgative program emitted in Spain, and driven by Eduard Punset. The 2nd to last was about the Technological Singularity. This term refers to a point in which tecnology and biological human being as we know will be one and practically indistinguishable: Virtual and Real will merge and become fully interconnencted. It won’t be like in “The Matrix”. In “The Matrix” the virtual world was not part of the reality, whilst in the Singularity, the virtual world will become part of the real one.

One of its prophets is Ray Kurzweil, inventor of Kurzweil sound synthetizers among other things.

Metaverses, Virtual HyperRealities, Naomachines integrated with our minds, expanding it and conecting it, making mental backups, etc. are just some of the Kurzweil’s predictions, who also warns the skepticals: The Singularity is called that way because, beyond some point (which seems to have happened already), technology evolves in an exponential way, which contradicts our intuition which works in a lineal fashion. As an example, if after 5 years we could make 10 times faster computers, after 10 years we could create 100 times faster (not just 20 times faster) ones. This makes Singularity something chaotic and unpredictable.

If you are interested in this topic, have a look on this video:

Posted by Boriel as Science, Artificial Intelligence, Vídeo at 8.21 pm

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Julio 19th, 2008  español 

Despedida de un Españolito Mileurista

Sorry, but this post is not available in English

Posted by Boriel as Sin categoría at 9.49 am

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Julio 6th, 2008  español 

Learning Peppys

Computer Science Artificial Intelligence Mathematics

This early morning I devoted a while to test an idea I have had in mind for years. In fact, I’ve told Edanna several times:

Why don’t we use Markov’s chains to implement several learning parts of an AI software? I’ve always thought human-machine interaction (a relatively new field which offers big promises) can borrow much of Markov’s ideas for its application.

When we learn our mother tongue, in some way, or neurons learn to expect that after a words sequence only a reduced sets of words can follow. And, in some manner, this is what I’m going o do next.

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Posted by Boriel as Computer Science, Artificial Intelligence, Mathematics at 12.06 pm

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