The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
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 ...
The New York Times

Treating Chronic Pain Is Hard. An Experimental Approach Shows Promise.

A guitarist in a death metal band was one of several people who found that personalized deep brain stimulation eased their pain and helped them reduce pain medication. A guitarist in a death metal ...
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 ...
Bleeping Computer

New Plague Linux malware stealthily maintains SSH access

A newly discovered Linux malware, which has evaded detection for over a year, allows attackers to gain persistent SSH access and bypass authentication on compromised systems. Nextron Systems security ...
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 ...
Bleeping Computer

Android malware Konfety uses malformed APKs to evade detection

A new variant of the Konfety Android malware emerged with a malformed ZIP structure along with other obfuscation methods that allow it to evade analysis and detection. Konfety poses as a legitimate ...
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 ...