07/05/2026
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