Computation-in-Memory for Modern Applications using Emerging Technologies

Reliable and Energy-efficient Diabetic Retinopathy Screening using Memristor-based Neural Networks

Computation-in-memory from application-specific to programmable designs based on memristor devices

Editorial: Novel memristor-based devices and circuits for neuromorphic and AI applications

RGO-Based Memristive Sensor for Rapid Hydrogen Detection at Room-Temperature

Efficient Signed Arithmetic Multiplication on Memristor-based Crossbar

PetaOps/W edge-AI μ Processors: Myth or reality?

SparseMEM: Energy-efficient Design for In-memory Sparse-based Graph Processing

MNEMOSENE++: Scalable Multi-Tile Design with Enhanced Buffering and VGSOT-MRAM based Compute-in-Memory Crossbar Array

Dependability of Future Edge-AI Processors: Pandora’s Box

Memristor-Based Lightweight Encryption

Application of Emerging Memory Technologies for Spiking Neural Networks

Dealing with Non-Idealities in Memristor Based Computation-In-Memory Designs

MNEMOSENE: Tile Architecture and Simulator for Memristor-based Computation-in-memory

Skeleton-based Synthesis Flow for Computation-In-Memory Architectures

Circuit Design for Memristor based In-Memory Computing

Memristive Device for Logic Design and Computing

A Mapping Methodology of Boolean Logic Circuits on Memristor Crossbar

Memristive devices for computation-in-memory

A Domain Specific Language for Computation-in-Memory