News Week
Magazine PRO

Company

See also  Epoch AI Launches FrontierMath AI Benchmark to Test Capabilities of AI Models

AI Predicts Whisky Aromas and Origins with Over 90 Percent Accuracy

Date:

Efforts to use artificial intelligence in analysing whisky aromas have yielded promising results, as researchers demonstrated the technology’s ability to identify key notes and origins of whiskies. The study, conducted by the Fraunhofer Institute for Process Engineering and Packaging in Germany, explored the molecular makeup of 16 US and Scottish whiskies, including brands such as Jack Daniel’s, Maker’s Mark, Laphroaig, and Talisker. According to reports, the findings indicated that AI systems could provide consistency and precision in determining whisky aromas, surpassing human expert panels in certain aspects.

Study Details and Methodology

The research, published in Communications Chemistry, involved training algorithms using chemical compositions and aroma profiles provided by an 11-member expert panel. The AI was tasked with predicting the five most prominent aroma notes and distinguishing between US and Scottish whiskies. It reportedly achieved over 90 percent accuracy in identifying the origins of the whiskies, although this figure is expected to decrease when applied to untrained samples.

Dr Andreas Grasskamp, the study’s lead researcher, highlighted the AI’s consistent performance, stating to The Guardian that it serves to complement, rather than replace, human assessments. The analysis pinpointed compounds such as menthol and citronellol in US whiskies, known for their caramel-like notes, and methyl decanoate and heptanoic acid in Scottish whiskies, associated with smoky and medicinal aromas.

Applications and Expert Insights

The research is expected to have broader applications beyond whisky analysis. Reports have suggested that the technology could aid in detecting counterfeit products and managing odours in recycled plastics. Dr William Peveler, a senior lecturer at the University of Glasgow, noted to The Guardian that such approaches could offer stability in maintaining consistent flavour profiles across whisky batches.

See also  Cryptocurrency Mixer Bitcoin Fog Convicted of Crypto Money Laundering

While the study demonstrated potential, limitations remain, such as the small sample size and the challenges posed by flavour changes during aging. Experts believe further work is necessary to account for environmental and sensory factors influencing whisky perception.

 

Efforts to use artificial intelligence in analysing whisky aromas have yielded promising results, as researchers demonstrated the technology’s ability to identify key notes and origins of whiskies. The study, conducted by the Fraunhofer Institute for Process Engineering and Packaging in Germany, explored the molecular makeup of 16 US and Scottish whiskies, including brands such as Jack Daniel’s, Maker’s Mark, Laphroaig, and Talisker. According to reports, the findings indicated that AI systems could provide consistency and precision in determining whisky aromas, surpassing human expert panels in certain aspects.

Study Details and Methodology

The research, published in Communications Chemistry, involved training algorithms using chemical compositions and aroma profiles provided by an 11-member expert panel. The AI was tasked with predicting the five most prominent aroma notes and distinguishing between US and Scottish whiskies. It reportedly achieved over 90 percent accuracy in identifying the origins of the whiskies, although this figure is expected to decrease when applied to untrained samples.

Dr Andreas Grasskamp, the study’s lead researcher, highlighted the AI’s consistent performance, stating to The Guardian that it serves to complement, rather than replace, human assessments. The analysis pinpointed compounds such as menthol and citronellol in US whiskies, known for their caramel-like notes, and methyl decanoate and heptanoic acid in Scottish whiskies, associated with smoky and medicinal aromas.

See also  Mozilla Hit With Privacy Complaint Over Firefox User Tracking

Applications and Expert Insights

The research is expected to have broader applications beyond whisky analysis. Reports have suggested that the technology could aid in detecting counterfeit products and managing odours in recycled plastics. Dr William Peveler, a senior lecturer at the University of Glasgow, noted to The Guardian that such approaches could offer stability in maintaining consistent flavour profiles across whisky batches.

While the study demonstrated potential, limitations remain, such as the small sample size and the challenges posed by flavour changes during aging. Experts believe further work is necessary to account for environmental and sensory factors influencing whisky perception.

 

 

Share post:

Subscribe

spot_imgspot_img

Popular

More like this
Related

South Carolina prepares for second firing squad execution

A firing squad is set to kill a South...

RRB ALP Recruitment 2025: Apply for 9,970 vacancies from April 12; check selection process and other details here

The RRB ALP Recruitment 2025 application process for 9,970...

‘Gauti (Gautam Gambhir) bhai has helped me understand my potential’

Washington Sundar, a versatile all-rounder, faces the challenge of...

Apple is left without a life raft as Trump’s China trade war intensifies, analysts warn

Apple remains stranded without a life raft, experts say,...