Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

How can digital tools bridge health care gaps in developing regions, enabling rapid scaling of early dementia screening, and ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

The widespread use of the internet has led to frequent cryptographic attack event incidents, which pose various risks, including the leakage of personal information, privacy data, identity theft, and ...

Ground-breaking, GPU-free machine learning now installs in minutes on Ubuntu, Red Hat Enterprise Linux, and Fedora, complete ...

To address this limitation, we propose a novel Domain Adaptation Contrastive learning model for Anomaly Detection in multivariate time series (DACAD), combining UDA with contrastive learning. DACAD ...

To address these challenges, we propose AffiGrapher, a physics-driven graph neural network that integrates a physics-informed graph architecture with contrastive learning. Incorporating multiple RNA ...