Professional AssociationsProfessional Associations: Deutsche Gesellschaft für Materialkunde | ETH Alumni | Gesellschaft Deutscher Chemiker (GDCh) | IEEE | International Society of Electrochemistry | Swiss Physical Society
The objective of HyperTaste is to develop an end-to-end solution for rapid and mobile fingerprinting of complex liquids using AI-assisted combinatorial electrochemical sensing. It provides a data-driven framework for users to train a sensor array for swift and automated analysis of liquids even outside of a laboratory setting. Read more about this research here. The project is part of the IBM Research Frontiers Institute.
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Putting Smart to Work: Computers that taste
IBM Hypertaste: An AI-assisted e-tongue for fast and portable fingerprinting of complex liquids