Microsoft

GigaWiper: Anatomy of a destructive backdoor assembled from multiple malware

GigaWiper is a destructive backdoor that combines multiple wiping and ransomware-like capabilities into a single operational ...

Large language model guides discovery of catalysts for clean energy tech

Designing high-performance catalysts is essential for cleaner energy technologies, but the behavior of multi-element modern ...
technologynetworks

Single-Cell RNA-Seq Data Analysis With AI: Tools, Workflows, and Biological Interpretation

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
IEEE

Stealing Hyperparameters in Machine Learning

Abstract: Hyperparameters are critical in machine learning, as different hyperparameters often result in models with significantly different performance. Hyperparameters may be deemed confidential ...
GitHub

Machine Learning Model Extension Specification

The STAC Machine Learning Model (MLM) extension provides a standard set of fields to describe machine learning models trained on overhead imagery and enable running model inference. The main ...
Scientific Research Publishing

Particle Swarm Optimization-Based Hyperparameters Tuning of Machine Learning Models for Big COVID-19 Data Analysis ()

Department of Computer Sciences, Suez Canal University, Ismailia, Egypt. Analyzing big data, especially medical data, helps to provide good health care to patients and face the risks of death. The ...