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In this section, we briefly summarize several computing architectures targeted for data streaming applications.
It encompasses several computing fields including fuzzy logic (FL) through the fuzzy if-then rules; neural networks (NN) for learning and adaptation; and genetic algorithms for evolutionary computation.
Already several computing systems are addressing this need, and the trend should continue with the input from all stakeholders.
The Darpa effort is focused largely on building machines that are hybrids of several computing designs, permitting them to excel on more than one type of computer problem.
HANA also makes use of processing a computing task across several computing cores in parallel, which adds a lot of speed.
Advances in several computing technologies have opened this opportunity and market, now called Big Data, and a key one is the software techniques of artificial intelligence like machine learning.
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This makes it possible for use in several compute-intensive applications, such as radar processing [41].
However, as explained in the first chapter, many HPC systems such as clusters or supercomputers consist of several compute nodes interconnected through a network.
This paper also demonstrates several results computed from CT-scanned engineering objects.
However, computing several engine cycles results in excessive computational costs.
The main disadvantage of DL is the computational burden due to several iterations for computing the singular value decomposition.
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