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As a critical test of the applicability of the proposed segmentation system to cry recordings irrespective of recording conditions, we show that the system trained on material recorded in one acoustic setting can be reliably adapted to perform on material recorded in an unseen acoustic setting.
Each time, the system trained on three subsets and tested on one subset.
The system trained on Baidu's new computer was wrong only 4.58percentt of the time.
The task for entrants: reduce the bias in a computer vision system trained on a culturally biased image data set.
The system, trained on a data set of weapon images, is active in a Pennsylvania high school.
A standard image-recognition system, trained on open-source data sets, can recognize a bride in a white dress, reflecting the classic Western tradition.
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Performance would be affected only by using two different systems trained on two different populations, whilst one could infer a new integrated model which takes into account such regional differences and aims at the same diagnostic ability in different settings.
As a consequence, systems trained on them often fail to precisely describe scenes from other cultures and locales.
Hadid and twenty other officers sat in a room with some thirty closed-circuit-television systems trained on courtyards, elevators, lobbies, and playgrounds in the housing complex.
Face recognition systems trained on lopsided data sets, meanwhile, are much more likely to misidentify black women than light-skinned men.
How do we ensure that systems trained on existing data aren't imbued with human ideological biases that discriminate against users?
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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