Publication

Non-volatile memory as hardware synapse in neuromorphic computing: A first look at reliability issues

Related publications (47)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Non-volatile memory as hardware synapse in neuromorphic computing: A first look at reliability issues

Graph Chatbot

Chat with Graph Search

Mixed-Precision Deep Learning Based on Computational Memory

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Scaling description of generalization with number of parameters in deep learning

Disentangling feature and lazy training in deep neural networks

Computational memory-based inference and training of deep neural networks

Deep learning assisted image transmission in multimode fibers

Perspective on training fully connected networks with resistive memories: Device requirements for multiple conductances of varying significance

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

Check Out This Place: Inferring Ambiance from Airbnb Photos

Nonvolatile Memory Crossbar Arrays for Non-von Neumann Computing