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New neural networks. Predicting. Machines. Humans. (From wisdom to knowledge to data)

  • Writer: Spiros Kakos
    Spiros Kakos
  • Aug 16
  • 1 min read
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A new type of neural network made with memristors can dramatically improve the efficiency of teaching machines to think like humans. The network, called a reservoir computing system, could predict words before they are said during conversation, and help predict future outcomes based on the present.


Memristors are a special type of resistive device that can both perform logic and store data and require less space and can be integrated more easily into existing silicon-based electronics. Reservoir computing systems built with memristors, can skip most of the expensive training process and still provide the network the capability to remember. This is because the most critical component of the system - the reservoir - does not require training. (1)


We like predicting.

But we are not who we are because we predict.

But because we do not.


We like understanding.

But we are not who we are because we understand.

But because we do not.


We believe that predicting based on data means something.

But it does not.


Humans used to be wise.

And then they replaced wisdom with knowledge.

Humans used to have knowledge.

And then they replaced knowledge with data.


At the end the computers will predict all words.

But there will be no one left to understand them…


“To be or not to…”

Yes!

The computer will predict the word.


But it will mean nothing at all…

 
 
 

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