Technology Networks

AI and Machine Learning in High-Throughput Screening

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...
BMJ

Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
IEEE

An Iterative Systematic Analytical Review of Machine Learning Techniques for Blockchain Optimization

Abstract: The exponential growth of blockchain and machine learning (ML) technologies has catalyzed innovations across domains; however, the lack of comprehensive reviews addressing their integration ...
Forbes

Machine Learning Trends For 2026

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...
EurekAlert!

New method improves the accuracy of machine-learned potentials for simulating catalysts

Accuracy and speedup achieved with the Weighted Active Space Protocol (WASP) for methane activation on titanium carbide. (Figure courtesy of Seal et al.) Catalysts play an indispensable role in modern ...
Scientific Research Publishing

Explainable Machine Learning in Risk Management: Balancing Accuracy and Interpretability ()

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...