Phys.org

New approach improves accuracy of quantum chemistry simulations using machine learning

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials ...
Lifehacker

This Android Malware Is Spreading Through Facebook Ads

Cybercriminals are running ads that promise free access to TradingView Premium, a market tracking and investment app, for Android mobile users. The links go to a cloned website, which initiates a ...
Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
IEEE

UL-VAE: An Unsupervised Learning Approach for Zero-day Malware Detection Using Variational Autoencoder

Abstract: With the rapid growth of Internet of Things (IoT) technology, there is an increase in the dangers of malware attacks. The underlying threat in these attacks is invading people's privacy and ...
Frontiers

Deep learning-based feature selection for detection of autism spectrum disorder

Introduction: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by challenges in communication, social interactions, and repetitive behaviors. The heterogeneity of ...
Bleeping Computer

North Korean hackers deepfake execs in Zoom call to spread Mac malware

The North Korean BlueNoroff hacking group is deepfaking company executives during Zoom calls to trick employees into installing custom malware on their macOS devices. BlueNoroff (aka Sapphire Sleet or ...
IEEE

A Malware Detection Approach Using Malware Images and Autoencoders

Abstract: Most machine learning-based malware detection systems use various supervised learning methods to classify different instances of software as benign or malicious. This approach provides no ...