This is a news story, published by ScienceDaily, that relates primarily to Penn State news.
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artificial tongueScienceDaily
•81% Informative
Researchers at Penn State developed electronic tongue capable of identifying differences in similar liquids, such as milk with varying water content; diverse products, including soda types and coffee blends.
They found that results were even more accurate when artificial intelligence used its own assessment parameters to interpret data generated by the electronic tongue.
Researchers published their results today ( Oct. 9 ) in Nature.
Penn State researchers say their sensors' robustness provides a path forward for broad deployment in different industries.
The sensors don't need to be precisely identical because machine learning algorithms can look at all information together and still produce the right answer.
This makes for a more practical -- and less expensive -- manufacturing process.
VR Score
91
Informative language
97
Neutral language
66
Article tone
semi-formal
Language
English
Language complexity
73
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
no external sources
Source diversity
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