Sai Prakash Maddineni and Yujian Huang, graduate students in the School of Electrical, Computer and Energy Engineering, part of the Fulton Schools, and research assistants in ASU’s Semiconductor Device Research Laboratory, are using artificial intelligence, or AI, machine learning and resistive random access memory, or RRAM, technologies to help develop ways of advancing semiconductor manufacturing and brain-inspired computing. The lab is also working to understand how similarities between the human synapse and RRAM technologies can be implemented into neuromorphic computing, which is inspired by human brain functions. They foresee the research leading to environmental benefits, bolstering the computer industry and reducing resource consumption, among other advances.