Bio-Inspired Memory Devise-Based Physical Reservoir Computing System to Solve Temporal and Classification Problems

Presented by Md Razuan Hossain, PhD
Springfield College Assistant Professor of Computer Science

Hossain’s research explores a new way of computing that draws inspiration from how the human brain works. Traditional computing devices face limits in performance, mainly because it’s getting harder to pack more parts (transistors) into a small space. In this presentation, Hossain will discuss how his project uses materials similar to those in our brains, like proteins or DNA, to create ‘bio-inspired’ memory devices. These devices mimic how brain cells communicate, which could lead to computers that are more efficient and better at tasks like recognizing patterns or classifying information. We combine these bio-inspired devices with a particular neural network called “reservoir computing.” This approach doesn’t need complex training methods, yet it’s adequate for tasks like speech recognition or predicting time series data. The goal is to develop more advanced and energy-efficient computing devices to solve computational problems in various fields.

This event is free and open to the Springfield College community.

For more information, contact Kellie Lavoie at klavoie2@springfield.edu or (413) 748-3117.

A Wellness Passport Event