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Researchers at the University of Minnesota designed a microfluidic integrated circuit to perform complex operations through artificial neural network computations on data stored in DNA

An RIT engineering researcher bridges biology and computing to advance innovative neural network processing and storage using DNA molecules.

The research team’s work today can lay the foundation to store the huge amounts of data generated by millions of personal and commercial tech devices. More robust storage capacity could improve archival data searches and forensics or medical sciences and biomedical applications where computing functions must be live-tissue compatible. Ganguly’s team is building a larger-scaled microfluidic device with the help of students in the engineering college’s senior design program.

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