2. 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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3. 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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4. 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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5. 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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6. 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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7. 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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8. 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
