Analog acceleration of deep learning using phase-change memory - ScienceDirect

Analog acceleration of deep learning using phase-change memory - ScienceDirect

MXenes: promising 2D memristor materials for neuromorphic computing components: Trends in Chemistry

A machine learning–based tool to model phase-change memory materials

Phase-change memory - ScienceDirect

Emerging phase change memory devices using non-oxide semiconducting glasses - ScienceDirect

Ferroelectric materials for neuroinspired computing applications - ScienceDirect

PDF) In-Memory Computing for Machine Learning and Deep Learning

Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials - Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc Gonzalez

Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials - Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc Gonzalez

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers