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Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems

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Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems

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Switching event detection and self-termination programming circuit for energy efficient ReRAM memory arrays

Phase-Change Memory Models for Deep Learning Training and Inference

A Real-Time Multi-Camera Depth Estimation ASIC with Custom On-Chip Embedded DRAM

Computational memory-based inference and training of deep neural networks

Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices

Architectural Sampling: A Formal Basis for Machine-Learnable Architecture

RRAM Crossbar Arrays for Storage Class Memory Applications : Throughput and Density Considerations

RRAM Crossbar Arrays for Storage Class Memory Applications : Throughput and Density Considerations

An FPGA-Based Test System for RRAM Technology Characterization

A phase-change memory model for neuromorphic computing

A Real-Time Multi-Camera Depth Estimation ASIC with Custom On-Chip Embedded DRAM

A phase-change memory model for neuromorphic computing

Phase-Change Memory Models for Deep Learning Training and Inference

Switching event detection and self-termination programming circuit for energy efficient ReRAM memory arrays

Computational memory-based inference and training of deep neural networks

An FPGA-Based Test System for RRAM Technology Characterization

Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices

Architectural Sampling: A Formal Basis for Machine-Learnable Architecture

RRAM Crossbar Arrays for Storage Class Memory Applications : Throughput and Density Considerations

RRAM Crossbar Arrays for Storage Class Memory Applications : Throughput and Density Considerations