Your English writing platform
Discover LudwigExact(60)
We benchmark MotifCut on both synthetic and real yeast motifs, and find that it compares favorably to existing popular methods.
We benchmark the performance against a state-of-the-art rule-based tool, PeFinder and out-of-the-box word2vec.
"Portal adoption" is in fact one of 10 "sentinel metrics" we benchmark and focus on in support of client performance.
We benchmark the wire-driven SRM against an equivalent Cartesian SRM.
Using a large, commercial dataset, we benchmark our model's performance against its deterministic counterpart.
We benchmark Jack against Geant4.9.4.p01, a well established particle transport code, on a water phantom.
Finally, we benchmark POS tagging and dependency parsing performance on the TLE dataset and measure the effect of grammatical errors on parsing accuracy.
We benchmark teacher compensation trends to those of professionals so that the benefits advantage of teachers captures the degree to which their benefits exceed those of other professionals.
Every time we get results we benchmark that with a theory and that helps us understand the system so much better.
We benchmark the performance of NT* to several commonly used tags and conclude that fusion to NT* gives up to eight times higher protein yields.
We don't ignore our competitors; we try to stay alert to what they are doing, and certainly there are things that we benchmark very carefully.
Write better and faster with AI suggestions while staying true to your unique style.
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