New Scientist

Peter Shor’s algorithm could break the internet – but he's not worried

Few people have invented an algorithm with the potential to spark a worldwide crisis, so why is quantum computing pioneer ...
GitHub

PolinRider: DPRK Threat Actor Implants Malware in Hundreds of GitHub Repos

The OpenSourceMalware team has uncovered a massive threat campaign that is implanting malware in GitHub users and organizations repositories. The threat actor, PolinRider, has implanted a malicious ...
GitHub

AvrahamRaviv/Deep-Learning-in-Hebrew

This repository includes Jupyter notebooks that accompany the book and reflect its chapter-by-chapter structure. The full content (complete book PDFs + all notebooks + bonus material) is available via ...
PNAS

Training neural networks using physical equations of motion

In this issue of PNAS, Dillavou et al. demonstrate an analog electronic system that relies exclusively on physical dynamics to optimally fit a nonlinear curve to a set of data points; a miniaturized ...
IEEE

Learning in Memristive Neural Network Architectures Using Analog Backpropagation Circuits

Abstract: The on-chip implementation of learning algorithms would speed up the training of neural networks in crossbar arrays. The circuit level design and implementation of a back-propagation ...
Frontiers

Protecting security of quantum neural network with sampling checks

With the development of quantum computing, the application of quantum neural networks will be more and more extensive, and its security will also face more challenges. Although quantum communication ...
IEEE

Design of An Analog Circuit-Based Artificial Neural Network

Abstract: In this paper, a feed-forward artificial neural network with a single hidden layer has been realized using analog circuit blocks designed in 90 nm UMC technology. The network is capable of ...
Frontiers

How can artificial neural networks approximate the brain?

The article reviews the history development of artificial neural networks (ANNs), then compares the differences between ANNs and brain networks in their constituent unit, network architecture, and ...