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For my dose of real-time, almost any search-capable Twitter app will do (of which there are many) and Google and the other major search engines provide pretty good mobile-optimized search.
For example, Aberdeen's technology funds hold shares in a firm called Inktomi, which produces the software used by search engines capable of scanning over 1bn items a second.
Consequently, the design, development, and analysis of effective search techniques capable of quickly finding high-performing parameter configurations have gained significant attention in recent years.
Google 's search algorithm, capable of pulling information from hundreds of millions of Web sites in a fraction of a second, represents one of the most sophisticated tools that humans have ever developed.
The upper level optimization problem is solved by evolutionary multiobjective optimization algorithms, where a greedy reassignment local search operator, capable of exploiting the domain knowledge and information from problem instances, is introduced to improve the efficiency of the algorithm.
One of the challenges with the efficient design of a search engine capable of considering semantic information is that it would need to be able to index information beyond the traditional information stored in inverted indices, including entity mentions and type relationships.
This structure can be used to develop search methods capable of handling much larger data sets.
The large number of MS2 spectra generated by the last generations of mass spectrometers requires automated search engines capable of identifying and quantifying the analysed peptides.
Frequency analysis of these 346 citations identified only two natural language search terms capable of retrieving more than 5% of the heart failure subset.
An improved version of the ProSight search engine, capable of database retrieval on the different sets of ions generated by the different fragmentation techniques in the same search, completes the search.
It provides a generic interface to integrate multiple sequence analysis tools into a heuristic Monte Carlo search procedure capable of evolving sequences towards pre-defined design targets (Fig. 1).
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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