Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Why is Managing Non-Human Identities Essential for Cybersecurity? Have you ever wondered how secure your cloud environment truly is in interconnected digital? When organizations increasingly migrate ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Investigators sought to train and validate a machine learning model to distinguish paper mill publications from genuine articles and assess the prevalence of paper mill publications.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built solution.

MRI radiomics shows promise for rectal cancer risk stratification, accurately predicting tumour deposits and aiding treatment ...