IEEE

C-DNN: A 24.5-85.8TOPS/W Complementary-Deep-Neural-Network Processor with Heterogeneous CNN/SNN Core Architecture and Forward-Gradient-Based Sparsity Generation

Abstract: Spiking-Neural-Networks (SNNs) have been studied for a long time, and recently have been shown to achieve the same accuracy as Convolutional-Neural-Networks (CNNs). By using CNN-to-SNN ...
GitHub

Container is not able to connect to the internet using the bridge network on Synology DSM 7.2

I tried to install the latest redmine image (5.1.2) after using redmine up to version 4.2.1 since a few years. I found that the actual image is not able to load ruby from the server which seems to be ...
Frontiers

Deep attentive fusion network for flood detection on uni-temporal Sentinel-1 data

Floods are occurring across the globe, and due to climate change, flood events are expected to increase in the coming years. Current situations urge more focus on efficient monitoring of floods and ...
Frontiers

A Practical Guide to the Numerical Implementation of Tensor Networks I: Contractions, Decompositions, and Gauge Freedom

School of Physics, Georgia Institute of Technology, Atlanta, GA, United States We present an overview of the key ideas and skills necessary to begin implementing tensor network methods numerically, ...