Machine learning to predict how fast biodegradable plastics break down in nature

Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...
British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
IEEE

Utilizing AI-Powered Anomaly Detection to Counter DDoS Attacks: A Comparative Study of Random Forest and XGBoost Algorithm in Network Protection

Abstract: This research addresses the current challenge of Distributed Denial-of-Service (DDoS) detection by investigating whether ensemble learning methods are able to provide enhanced security ...
IEEE

Modification of the XGBoost Machine Learning Algorithm for Sales Forecasting

Abstract: This article examines approaches to regularization and mitigating the impact of data anomalies using the XGBoost algorithm as an example. The objective of the study is to develop and ...
Singularity Hub

AI Is Advancing Faster Than Our Ability to Understand It, Researchers Warn

While we still can't explain how AI works, algorithms are rapidly learning what makes us tick. And the gap is widening. AI is becoming more powerful, and mysterious. Despite years of work on ...