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4755Re: [nanotech] Re: Nanosystems which imitate neural networks to realize a Nanofactor

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  • nanoparticlesalez@yahoo.com
    Jan 1 3:39 PM
      Vulvox Nano/Biotechnology Corporation is developing moltranic hardware that can be used to make neurodes and nanobots that self assemble into neural networks and other learning machines.

      biodun olusesi <otonetafrica2000@...> wrote:
      For accepting this, I will personally like to commend you for putting forth such a theoretically-elegant piece. I personally see nothing wrong in borrowing concepts from any other field in other to illuminate what 'may be theoretically possible' to move nanotech forward.
      However I am at a loss concerning your comment:
      >>I say it again, to avoid misunderstandings:
      The neural net is inside the small nano unit - and not between
      the nano units<<

      I find it hard to reconcile with this piece from your web writing:

      \\\Self-learning NanoBots

      The teacher (red) is integrated into the freemoving nano unit.
      The graphic is idealised. The teacher has two "sensors" to test the environment here.
      Always, if the nano unit shows an undesired behavior, the teacher (red) sends energy of rearrangement to the adaptive nanoelements. (The NanoBot learns always, i.e. no L-condition necessary.)

      (The NanoBot without adaptive nanoelements is not self-learning but it could be useful in special cases.
      The energy of rearrangement causes random changes of the T nanoelements. The NanoBot would be a stochastic, freemoving searcher.)///


      Now, the point is the teacher is embeded within the nanounit, with sensors to sense and interprete the changes within the millieu the nanounit is situated, yet the nanounit is said to be 'self learning' , and since Each of the nanoelements were sensing the same millieu the 'teacher' is sensing, Will it not be more elegant to simply discard the other elements,allow the 'teacher' the sensing and reporting function under the control of an external computer? - something akin to what Robert Freitas Jnr. had written about! That way you have less space and less design headache. This comment however should be interpreted with respect to the theoretical feasibility of getting nanobots into the intracellular millieu for the purpose of subcellular imaging and manipulation.
      Again, I personally see nothing wrong in borrowing of concepts, whether from AI, or any other source to illuminate how nanotech can move forward, and wish to commend you for your theory
      Biodun
      http://nanotology.org
      zander_cn <carsten.zander@...> wrote:


      Your doubts may be in parts qualified.

      I say it again, to avoid misunderstandings:
      The neural net is inside the small nano unit - and not between
      the nano units. Every intelligent nano unit is a little agent!


      --- In nanotech@yahoogroups.com, "Jean ROCH" <nefastor@h...> wrote:

      > neurons
      > aren't intelligent, it's the association of several neurons (a
      network)
      > which might exhibit behavior that makes sense to us. Enough that
      we'd call
      > it "intelligent".


      You're right. But I've meant:
      intelligent (nanoelement unit) and not (intelligent nanoelement) unit
      To avoid his misunderstandig I'll name them "intelligent nano units"


      > In other words, there's no use for "n" and "o" : a neuron should be
      both.


      I've wrote: "the o-cell represents the kind of connection between
      N-cells"
      I've not wrote: "the o-cell is the connection between N-cells"



      > >The goal is to create a desired...
      > >behavior of the "intelligent" nanoelement unit - by a
      > >simple "evolution" process.
      > Gibberish. What do you mean by evolution ? DNA mutation ? Physical
      motion ?
      > Changes in programming ?


      For example, please search for "Simulated Annealing" "neural
      networks"
      http://www.google.com/search?hl=en&q=%22Simulated+
      Annealing%22+%22neural+networks%22


      > nanotech is neither the best technology for processing data.


      An intelligent nano unit has to learn simple things only.


      > Fact : ambient conditions are extremely hard to control. Learn about
      the 2nd
      > law of thermodynamics.
      > Fact : when you dip into nanoscale territory, it only gets worse.
      Learn
      > about the Heisenberg principle of incertitude.
      > The degree of control over "reality" that you suggest may well
      remain the
      > stuff of sci-fi for ages to come.


      Learn about biological nanosystems. ;-)
      Possibly such a neural network based nano unit is potentially better
      applicable than a conventional nanodevice. Neural networks are more
      stable and fault-tolerant.


      > >For example: The intelligent nanoelement unit could learn to do
      > >something (e.g. to rotate) when a specific local(!) event happens.
      > Obviously. That's what neurons do.


      No. You've misunderstod it. The whole(!) nano unit could learn to
      rotate, e.g. in a constant field. Some field-sensible T-nanoelements
      could be mixed with nano unit to realize a motor effect.


      > >http://www.01nn.com/nano/nano.htm
      > This seems to describe a way to implement neural networks at the
      molecular level.


      But the neural net is inside(!) the small nano unit!


      > I suggest you look into the works of Yosef Bar
      > Cohen : his electroactive polymers do exactly that, and more, and
      they don't
      > need neural networks. Polypyrrole is what nanotechnology is really
      like, in
      > the REAL world.


      Thank you for the tip. I'll contact him.

      Carsten








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