NEUROMORPHIC COMPUTING

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NEUROMORPHIC COMPUTING
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What is Neuromorphic Computing

• In a nutshell, this is the process where the
  computers try to replicate how our brain works.
  Our brain is comprised of tiny neurons, and they
  create an entire network of response system.
• The engineers are trying to use this technology
  to build a different kind of processor that is
  more smart, more human and thinks how our brain
  intercepts different kinds of signals and respond
  with different kinds of outputs based on the type
  of incoming signals.

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Problems with Neuromorphic Computing

• The first and foremost challenge with traditional
  computing is that rule of processing it follows
  is known as Von Neumann Architecture. In this
  Architecture, there are three parts, one is
  input-output, second is the combination of
  Control Unit and Logarithmic  Unit, called
  Central Processing Unit, and the third is memory.

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Neuromorphic Computing Language

• Now this is another hurdle in the evolving
  technology, all the programming languages so far
  like C or C has been made to work in Von
  Neumann Architecture. Programming languages
  pre-concur that the data needs to travel between
  memory and cpu for the processing system to work,
  which is not the case for Neuromorphic Computing
  Systems.

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How Neuromorphic Computing Works

• As we have explained before, Neuromorphic
  Computing is the system that tries to clone the
  response system of our brain. And chips built for
  the system has two distinct advantages over all
  other chips - one is that the memory and central
  processing unit is embedded in one single system
  - and second is that in the whole system chips
  are interconnected with one another.
• So for a process in Neuromorphic Computing
  System, if one chip is busy for any signal to
  process, the signal is relayed to next chip which
  process the signal for a proper response and thus
  achieve simultaneous signal processing.

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Neuromorphic Chips

• The Chips that use this Neuromorphic system has
  two basic differences from others, the memory and
  the processor is built together and number of
  connection is around 16 with one another. Apart
  from Intel's 'Loihi' and IBM's 'Truenorth' chip,
  there are few chips that successfully integrated
  the Neuromorphic engineering.

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Neuromorphic vs quantum computing

• Quantum Computing is the system that use quantum
  phenomenons like superposition and entanglement
  to process any signal and give outputs. Whereas
  Neuromorphic computing is the system that
  replicates the Neuro-Biological Architecture of
  the brain. Later system is more advanced and key
  factor in developing AI technology.

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Conclusion

• The engineers are trying to use this technology
  to build a different kind of processor that is
  more smart, more human and thinks how our brain
  intercepts different kinds of signals and respond
  with different kinds of outputs based on the type
  of incoming signals.

https//hwrig.com