In this insightful episode, we are joined by Dr. Sarwat from IBM Research, who introduces us to the groundbreaking realm of phase-change memtransistive synapses for neuromorphic computing. This new field is inspired by the biological nervous system's ability to adapt and learn, bringing transformative potential to the world of computing.

Neuromorphic computing aims to recreate the functionalities of the mammalian nervous system, where multiple synaptic plasticity rules operate over wide-ranging timescales to enable learning and memory formation. Dr. Sarwat explains the challenges of achieving this in artificial synapses and how conventional methods fall short in emulating these dynamic functionalities.

We delve into the workings of phase-change memtransistive synapses, a novel solution that leverages the non-volatility of phase config ...