Patrick Ruch           

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.

Mayflower: Robot-ship to seek out mysteries of the ocean (More on Mayflower: https://mas400.com/)

Putting Smart to Work: Computers that taste

IBM Hypertaste: An AI-assisted e-tongue for fast and portable fingerprinting of complex liquids

Left: HyperTaste "Citrus" sensor clipped on glass containing a liquid sample.
Right: HyperTaste app displaying a network graph relating test data to training data.

HyperTaste team in June 2019.