Why I'm planning to pursue research and studies
The future of digital environment is shifting towards
inducing the intelligence to the hardware and transforming the inducted
algorithm to newer levels. The evolution of technology has influence on the
growth of the learning models. Defining intelligence for machine is an
interesting problem.
Problem solving with reasoning is the logical capacity of
individual that defines the intelligence. With the events in life, human learns
and builds the self-awareness. Using the same context, for machines, the events
that are happening while processing an algorithm must be recorded for further analysis
and learning purpose. These events produce data and with time, the data grows enormously.
To process this huge quantity of data, it is important to have high
computational capacity for the machine. Along with this, the storage capacity
should also be spanning to exponential levels. This solves the purpose of
processing power and the storage, but, not the logical learning and collective
processing of multiple algorithms at parallel.
Humans explore unknown horizons. This kind of ability is not
yet base-lined by scientists. Hence, the abilities that were base-lined were
given attention towards inducting to machines for better results. Scientists
have produced algorithm for detecting deadly cancer with 86% accuracy is a example
for such limited scope of related data.
Thus, we need a baseline data set and the characteristics
exposed by these data elements within. It is very much important to categorize
these characteristics and identify the algorithms, that get influenced by them.
Hence, the need of the situation is to build the bridge between the inception
of the data point and the collection of the data points that are continuously
exposing a similar characteristic behavior.
With this thought process, I would like to pursue my
research in algorithms as well as the evolving learning mechanisms.
-----------------------If you have something to share in person on this post, pl drop me a mail at dskcheck@gmail.com with the title in the subject.
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