Frontiers

ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing

In this work, we propose ReStoCNet, a residual stochastic multilayer convolutional Spiking Neural Network (SNN) composed of binary kernels, to reduce the synaptic memory footprint and enhance the ...
GitHub

awest25/binary-learning-display

Translating binary to decimal can be cumbersome and error-prone. Reliance on online tools or manual calculations slows down learning. Bitwise operations often lead to mistakes without immediate ...
Frontiers

The Effect of Digital Game-Based Learning on Learning Motivation and Performance Under Social Cognitive Theory and Entrepreneurial Thinking

Department of Management Information Systems, National Chung Hsing University, Taichung, Taiwan This study aims to investigate the effects of students’ learning motivation and learning performance in ...
Forbes

Facebook Reminds Us That Binary Deep Learning Classifiers Don't Work For Content Moderation

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. Facebook’s explanations for how its heavily promoted AI algorithms ...