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

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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. This contrasts with typical computer systems, where processors perform logic separate from memory modules.

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.

When a set of data is inputted into the reservoir, the reservoir identifies important time-related features of the data, and hands it off in a simpler format to a second network. This second network then only needs training like simpler neural networks, changing weights of the features and outputs that the first network passed on until it achieves an acceptable level of error.

Reservoir computing systems are especially adept at handling data that varies with time, like a stream of data or words, or a function depending on past results. “We can make predictions on natural spoken language, so you don’t even have to say the full word […] We could actually predict what you plan to say next”, claim the scientists. “It could also predict and generate an output signal even if the input stopped” researchers explained. (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…

Author: skakos

Spiros Kakos (or Spyros Kakos or Spyridon Kakos) [Σπύρος Κάκος] is a thinker located in Athens, Greece. He has been the Chief Editor of Harmonia Philosophica since its inception. Spiros has a diploma in Chemical Engineering, an MSc in Advanced Materials' Technology, an MBA in Decisions' Science, a phD in the use of conductive polymers in PCB industry and is still learning. He also worked as a technical advisor and a researcher in the Advanced Materials sector for many years in the past. In his free time he develops software solutions and contributes to the open source community. He is the creator of Huo Chess, one of the smallest micro-chess programs ever that is perfect for educational purposes. He believes that science and religion are two sides of the same coin and is profoundly interested in Religion and Science philosophy, as well as the philosophy of the irrational. His philosophical work is mainly concentrated on an effort to free thinking of "logic" and reconcile all philosophical opinions under the umbrella of the "One" that Parmenides - one of the first thinkers - visualized. Since our thought is dictated by our assumptions, the only way to free it and know cosmos as it is, is to think irrationally and destroy everything we have built. The "Harmonia Philosophica" articles program is the tool that will accomplish that. Life's purpose is to be defeated by greater things. And the most important things in life are illogical. We must fight the dogmatic belief in "logic" if we are to stay humans. We should stop thinking in order to think. Credo quia absurdum! View all posts by skakos