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A matter of taste: Electronic tongue reveals AI 'inner thoughts'

ScienceDaily
Summary
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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

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no external sources

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