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Utilising Analogue Computing in Tensorflow by Gate Sensor

Real transistors for real OpAmps, directly connected to deep learning without ADC/DAC.
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A lot of processing involved in, for example, Tensorflow, resembles four quadrant balanced modulation (or two quadrant balanced modulation if a reLU is used) in analogue electronics. The analogue circuitry (using matched transistors) can supply a more or less instananeous measurement of the process it applies.

A team recently produced a 'gate sensor' that can allegedly detect the movement of individual electrons.

It occurs to me that it would be quite useful to have the equivalent of an operational amplifier, or several, that are fully analogue but connected to the measurable digital logic of computer interfaces, but not through something as clumsy and detached as ADC and DAC. Being able to instantaneously measure actual electron and hole density and flow at the terminals of an analogue circuit would be ideal. At the very minimum it'd be interesting to use transistors in their linear working region.

Ian Tindale, Mar 19 2017

Ultra-sensitive sensor detects individual electro https://phys.org/ne...dual-electrons.html
[Ian Tindale, Mar 19 2017]

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       You took the words right out of my mouth. [+]
MaxwellBuchanan, Mar 19 2017
  

       Tenser, said the Tensor. Tenser, said the Tensor. Tension, apprehension, And dissension have begun.   

       Don't blame me, blame Alfred Bester.
not_morrison_rm, Mar 19 2017
  
      
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