Read-disturb Detection Methodology for RRAM-based Computation-in-Memory Architecture

Efficient Signed Arithmetic Multiplication on Memristor-based Crossbar

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

Lightspeed Binary Neural Networks using Optical Phase-Change Materials

A Survey on Machine Learning in Hardware Security

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

Device-Aware Test for Back-Hopping Defects in STT-MRAMs

Data Background-Based Test Development for All Interconnect and Contact Defects in RRAMs

Online Fault Detection and Diagnosis in RRAM

A 115.1 TOPS/W, 12.1 TOPS/mm²Computation-in-Memory using Ring-Oscillator based ADC for Edge AI

Mapping-aware Biased Training for Accurate Memristor-based Neural Networks

Survey on Architectural Attacks: A Unified Classification and Attack Model

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

Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks

Severity-based Hierarchical ECG Classification using Neural Networks

Defects, Fault Modeling, and Test Development Framework for RRAMs

Spin Wave Based Approximate Computing

A Spin Wave-Based Approximate 4:2 Compressor: Seeking the most energy-efficient digital computing paradigm

Automated Identification of Application-Dependent Safe Faults in Automotive Systems-on-a-Chips

Characterization, Modeling, and Test of Intermediate State Defects in STT-MRAMs