Media mention: “Soda to milk: Electronic AI tongue detects liquid samples with 80% accuracy”

Oct 10, 2024

Where: Interesting Engineering, “Soda to milk: Electronic AI tongue detects liquid samples with 80% accuracy 

Who: Andrew Pannone, research co-author and doctoral student in engineering science and mechanics; Saptarshi Das, Ackley Professor of Engineering and professor of engineering science and mechanics. 

What: Andrew Pannone, research co-author and doctoral student in engineering science and mechanics, and Saptarshi Das, Ackley Professor of Engineering and professor of engineering science and mechanics, are featured in Interesting Engineering in reference to their research surrounding an electronic tongue that can discern between different types of liquid with a high level of accuracy. 

 

Share this story:

facebook linked in twitter email

MEDIA CONTACT:

College of Engineering Media Relations

communications@engr.psu.edu

“After achieving a reasonable accuracy with human-selected parameters, we decided to let the neural network define its own figures of merit by providing it with the raw sensor data. We found that the neural network reached a near ideal inference accuracy of more than 95% when utilizing the machine-derived figures of merit rather than the ones provided by humans.” — Andrew Pannone doctoral student, engineering science and mechanics