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Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

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Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays

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2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Software Support for Non-Volatile Memory (NVM) Programming

Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses

Accurate Emulation of Memristive Crossbar Arrays for In-Memory Computing

Multi-memristive synaptic architectures for training neural networks

Accurate deep neural network inference using computational phase-change memory

Computational memory-based inference and training of deep neural networks

ReRAM From Material Study to CMOS Co-integration

Asynchronous Simulation of Neuronal Activity

JESD204B Compliant 12.5 Gb/s LVDS and SST Transmitters in 28 nm FD-SOI CMOS