Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Microsoft develops a lightweight scanner that detects backdoors in open-weight LLMs using three behavioral signals, improving ...

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, ...

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 ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...