Brain-inspired computing systems make use of electronic devices that act as artificial synapses. These synapses can be achieved using non-volatile memory (NVM) technologies and organized into arrays to construct neural networks that enable efficient hardware-implementation of machine-learning algorithms. This project will provide students the opportunity to test NVM-based synaptic devices including charge-trapping transistors and resistive-switching memory (i.e., RRAM) while learning how to program and operate state-of-the-art semiconductor characterization equipment.

Semester: Spring 2022

Hours per week: 5hrs

E-mail Prof. Sanchez Esqueda (isesqueda@asu.edu) with your resume for further information. Project is FURI eligible for fall FURI application deadline.