Design of a memristor-based spiking neural network for anomaly detection with a low-power vibration sensor
Artificial intelligence makes it possible to perform complex tasks such as object detection and speech recognition. However, the high energy consumption of artificial neural networks based on deep learning prevents their integration into low-power sensors. Spiking neural networks offer an elegant solution to this problem. These systems work analogously to a biological brain, where neurons exchange electrical impulses through synapses. Since information is encoded as pulses of finite duration and exchanged asynchronously, the energy consumed by the circuit is several orders of magnitude less than conventional electronics.
We offer a 6-month internship project whose goal is to design a simulation environment for spiking neural networks capable of continuously analyzing the signal generated by a vibration sensor to detect anomalies indicating the imminent failure of a device. In this simulation, synaptic connections will be made using a behavioral model of TiO2 resistive memories, also known as memristors. These memories are under development at 3IT and will eventually be used as artificial synapses in computer hardware specifically optimized for bio-inspired computation.
Supervision and working environment:
This project will be carried out under the co-supervision of Dr Alexandre Juneau-Fecteau, Pr Dominique Drouin, Pr Serge Ecoffey, Pr Yann Beilliard, and Pr Luc Fréchette. The work will take place at the Institut Interdisciplinaire d’Innovation Technologique (3IT) of the University of Sherbrooke, a Canadian institute dedicated to cutting-edge research in the fields of energy, electronics, robotics, and health. The candidate will thus benefit from a highly interdisciplinary research environment where students, engineers, professors, and industrialists work in close collaboration.
Librarian, Knowledge And Research Program, University of Toronto, Canada, 1 day ago
Essential staffing requirements To be eligible, you must mandatorily meet the following requirements. Education Successful completion of a master’s degree from a recognized postsecondary instituti...