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Analog Computer an answer to AI?


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Analog computers are as far as I know obsolete in the digital age. But there are ongoing research in neuromorphic engineering that may be of interest. Example from a recent paper: 


Neuromorphic systems aim to accomplish efficient computation in electronics by mirroring neurobiological principles. Taking advantage of neuromorphic technologies requires effective learning algorithms capable of instantiating high-performing neural networks, while also dealing with inevitable manufacturing variations of individual components, such as memristors or analog neurons. We present a learning framework resulting in bioinspired spiking neural networks with high performance, low inference latency, and sparse spike-coding schemes, which also self-corrects for device mismatch. We validate our approach on the BrainScaleS-2 analog spiking neuromorphic system, demonstrating state-of-the-art accuracy, low latency, and energy efficiency. Our work sketches a path for building powerful neuromorphic processors that take advantage of emerging analog technologies.

source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794842/


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1 hour ago, TheArtOfDHT said:

What does everyone experienced in AI system design think?

I want to write a paper on how to apply analog to digital systems due to the fact I have imagined a digital/analog architecture. 

These are vary bare details to work with.

I don't see where AI comes into it for instance.


Analog computing is far from dead in the real world and there are many combined analog/digital systems in use.

Often these days users demand a digital display/presentation of output, audio recording and reproduction being the stand out exception.

I had a quick google for pneumatic proportional controllers which are a prime example of analog system, perhaps with a digital readout.


So yes crack on with your paper, what  is the setting for it?  Educational, professional, a journal article ?

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