Machine learning accelerates analysis of fusion materials

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...
Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
IEEE

Machine Learning Models Tailored to Resource-Constrained Environments, with a Focus on Data Preprocessing Techniques

Abstract: In the era of pervasive computing, machine learning (ML) is increasingly deployed on resource-constrained devices, such as smartphones, IoT devices, and edge nodes. This research explores ML ...
IEEE

AI-Enabled Autonomous Data Preprocessing: A Scalable Architecture for Intelligent Machine Learning Pipeline Management

Abstract: An artificial intelligence-based pre-processing system, developed for the machine learning domain, is used to predict what data analysis procedure will provide a higher quality result when ...
Analytics Insight

10 Essential Exploratory Data Analysis Methods to Master in 2026

Overview: EDA techniques can help you translate your data into useful and actionable insights.Discover how top analysts uncover patterns, eliminate errors, and ...