Neurosynaptic chips
In many ways computers
today are nothing more than very fast number-crunchers and information
manipulators. They can process lots of data, but they really don’t think. They
all adhere to the Von Neumann architecture, largely unchanged in
the last half-century, in which computers are constructed by separating memory
and processing and operate by executing a series of pre-written “if X then do
Y” equations.
With the advent of Big Data,
which grows larger, faster and more diverse by the day, this type of computing
model is inadequate to process and make sense of the volumes of information
that people and organizations need to deal with.
The cognitive capabilities of the brain
includes understanding the surrounding environment, dealing with ambiguity,
acting in real time and within context – all while consuming less than power
than a light bulb and occupying less space than a two-liter bottle of soda. These
new silicon, neurosynaptic chips allow for computing systems
that emulate the brain’s computing efficiency, size and power usage.
Each corelet has a particular function that can be put
together in different configurations to create new applications. For example, a
corelet could include all of the individual cores that perceive sound. The
programmer could use that corelet in conjunction with others that represent
edge detection and color identification to develop a new application that takes
advantage of all those features.
Article By
Basavaraju
S
Asst.
Professor, ISE Dept
Brindavan
College of Engineering
Bangalore-63
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