Rudiyanto Gunawan, an associate professor of chemical and biological engineering, is the lead PI of a recent National Science Foundation award to establish an Institute for Data-Intensive Research in Science and Engineering (DIRSE).
The project is entitled “MEMONET: Understanding memory in neuronal networks through brain-inspired artificial intelligence.” It leverages the data revolution in neuroscience, advanced data analytics and deep learning algorithms, large-scale biochemical modeling, and sophisticated solid-state physics simulations, to harness voluminous biomolecular and activity data of neurons. The overarching goal of the project is to elucidate mechanistic insights into the brain’s learning and memory functions and translate such insights into innovative materials and devices for neuromorphic computing. Learn more on the MEMONET project website.
The project is expected to shed light on the complex inner workings of the brain, as well as to pave the way for transformative brain-inspired electronic devices for information processing, data storage, computing and decision-making. It is a part of the NSF’s Harnessing the Data Revolution (HDR) Big Idea activity. Collaborators include the University of Alabama, Virginia Polytechnic Institute and State University, University of California, San Diego and the University of Rhode Island.