Single transistor combines memory and signal processing for brain-inspired computing

Researchers have demonstrated a single-transistor design that merges information storage and signal processing, a building block for brain-inspired computing. The approach relies on memristive and synaptic devices whose conductance retains information about previous inputs.

• The transistor combines memory and signal processing functions
• Device conductance retains information about prior inputs
• The approach targets AI computing on edge devices