ASIC² Technion Research Group

Our student Rishona Daniels presented her graduate MSc seminar yesterday on “Reservoir Computing with Memristive Neural Networks״.

She explained the principles of reservoir computing with volatile memristors, explored how preprocessing methods and memristor parameters affect performance, and discussed the various trade-offs involved in designing such systems.

Great job, Rishona!
Congratulations!

Prof. Shahar Kvatinsky
הפקולטה להנדסת חשמל ומחשבים ע"ש ויטרבי טכניון
הטכניון - מכון טכנולוגי לישראל | Technion

New paper is published!

Rishona Daniels' paper "On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification" is now published in Advanced Electronic Materials.

This paper explores reservoir computing based on volatile memristors and is the outcome of three hard work years of Rishona's MSc, with collaboration with Ronny Ronen, Duna Wattad, and Prof. David Saad.

It is online right on time, a day before Rishona's graduate seminar!

The paper can be found here:
http://doi.org/10.1002/aelm.202500866

הטכניון - מכון טכנולוגי לישראל | Technion
הפקולטה להנדסת חשמל ומחשבים ע"ש ויטרבי טכניון