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 ...
News Medical

Deep learning tool improves accuracy of lung nodule malignancy detection

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
insideHPC

8 Years in the Making: Sandia Team Creates Malware Detection Software with Livermore HPC

A cybersecurity platform, under development for eight years at Sandia National Laboratories to detect and analyze advanced malware threats, is now publicly available, giving defenders in the public ...
IEEE

Anomaly Detection for GOOSE Spoofing Attacks in Digital Substations Using Deep Learning Models: A DNN and LSTM Approach

Abstract: Digital substations have significantly increased the accuracy of power grid operations thus advancing high efficiency and reliability in grid operations. While this advancement has brought ...
Scientific Research Publishing

Casillo, D.M., Coppola, S., De Santo, M., Pascale, F. and Santini, S. (2021) Anomaly Detection Approaches in Industrial IoT: A Survey. Sensors, 21, Article 4759.

ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...
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

How to build a robust Windows Service to block malware and ransomware

Discover five practical strategies to harden your Windows Servers against modern cyber threats. This eBook by ThreatLocker provides actionable steps to enhance your server security using a Zero Trust ...
ascopubs.org

Comparative analysis of immunotherapy treatments in non-small cell lung cancer (NSCLC) using novel causal machine learning approaches.

Survival outcomes in non-small cell lung cancer: Real-world analysis of immunotherapy era vs pre-immunotherapy era, with insights into treatment settings, racial disparities, and socioeconomic impacts ...
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 ...