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Filters are necessary to get the most out of the ever increasing amount of information that is coming to us.
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As we gather ever increasing amounts of information, it requires machine processing power to help make sense of that growing pile of data.
The new functions greatly reduce the burden on users to collect and merge ever increasing amounts of information available for substances present in different compound databases, thus enabling them to consider much more evidence during their screening efforts.
Today, we are all on mobile devices, work everywhere and generate ever increasing amount of data.
Furthermore, scalable SP algorithms are required to make sense of the ever increasing amount of data from sensors in everyday devices.
Nowadays the on board systems are becoming "real computers" able to manage the ever increasing amount of data with higher storage capabilities and computational speed.
As the cost of DNA sequencing continues to fall, the interpretation of the ever increasing amount of data generated represents a considerable challenge.
There is a huge amount of data contained in the genome and the development of genetic science will allow ever increasing amounts of data to be extracted.
SAMStat is ideally suited to deal with the ever increasing amounts of data from second-and third-generation sequencing projects.
This is also the case in many language processing tasks, due to the overwhelming and ever increasing amount of textual information that must be processed in a reasonable time frame.
The advent of global expression profiling technology has led to an ever increasing amount of genomic information available.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com