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Bank of England Leverages Machine Learning to Better Understand Economic Theory and Inflation

The Bank of England is applying a fusion of machine learning (ML) with economic theory to better understand complex phenomena ...
Harvard Business Review

Decision Trees for Decision-Making

Here is a [recently developed] tool for analyzing the choices, risks, objectives, monetary gains, and information needs ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
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Community member in Altadena works to preserve history of trees destroyed by Eaton Fire

In Altadena, the scars of the Eaton Fire aren’t just measured in homes lost but in the trees that are no longer there. A woman in the community has made it her mission to preserve the histories and ...
IEEE

Research on Multidimensional Data Analysis and Decision Making Based on Multiple Machine Learning Algorithms

Abstract: Focusing on multidimensional data analysis, this study applies a variety of machine learning algorithms for an in-depth exploration of decision preferences and influencing factors. A ...
C&EN

Machine-Learning Potential Molecular Dynamics Reveals the Critical Role of Flexibility in Solid–Liquid Nanofluidic Friction

Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science, Shanghai University, Shanghai 200444, ...
Smithsonian Magazine

A New Exhibit in Toronto Reexamines the Works of the Baroque Masters

The Rape of the Sabine Women, an episode in which Rome’s legendary founders forcibly abducted brides from a nearby community, has been a popular subject in painting and sculpture since the Renaissance ...
IEEE

An Adaptive Framework for Low-Rate DDoS Detection in Cloud Environments Using Decision Tree Machine Learning Algorithm

Abstract: An adaptive detection framework to identify low-rate Distributed Denial of Service (DDoS) attacks in cloud environments. Leveraging the Decision Tree machine learning algorithm, the ...
Frontiers

Real-world data-driven early warning system for risk-stratified liver injury in hospitalized COVID-19 patients—Machine learning models for clinical decision support

Objective: To develop and validate a real-world evidence-driven early warning system for the risk-stratified prediction of coronavirus disease 2019 (COVID-19)-associated hepatic dysfunction in ...