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In the other side of this coin, big sequencing data processing is becoming a new bottleneck and costs great amount of manpower [ 3- 8].
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The energy efficiency of data processing is becoming more and more important for both economical and ecological reasons.
In addition, the application of CS theory to the field of speech signal processing is becoming a rising research focus.
Parallel processing is becoming an enabling tool for such research.
Network processing is becoming an increasingly important paradigm as the Internet moves towards an architecture with more complex functionality in the data path.
The big data phenomenon is becoming a fact.
Consumer anxiety regarding data privacy is becoming a global concern.
The data center is becoming a new kind of computer.
Energy consumption for data center is becoming a large component of operating costs.
Now data is becoming a much more dynamic.
Today, personal data is becoming a new economic asset.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com