Assembly Magazine

Machine Learning Detects Fastening Errors

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
European Medical Journal

Machine Learning Predicts Risk of Fragile X-Associated Syndrome

Machine learning may help predict Fragile X-associated tremor syndrome earlier, enabling planning, monitoring, and timely ...

From ‘trust me’ to ‘show me’: Building technical assurance for AI in pharma

Embed technical assurance into vendor contracts, requiring evidence of performance/robustness/bias testing, transparency ...
EurekAlert!

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

CU Anschutz researcher Michael A. David, PhD, is turning to a subset of AI to enhance the field of orthopedics and helping others do the same.
IEEE

Leveraging Key Source Code Metrics for Predicting Software Vulnerabilities with Machine Learning

Abstract: Security vulnerabilities are a common concern in software systems, posing significant risks such as unauthorized access, data breaches, and system failures, which makes their early detection ...
IEEE

Mixed-Curvature Metric Learning for Image Retrieval

Abstract: Distance metric learning is a key field of machine learning, which aims at improving the performance of pattern classification and data discrimination by optimizing features to make samples ...
Devdiscourse

Early warning AI system could transform sepsis treatment in hospitals

Sepsis remains one of the most urgent global health challenges, responsible for millions of deaths each year due to delayed ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...