CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

The term dementia is used to describe various debilitating neurological disorders characterized by a progressive loss of ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

E-Vega Mobility Labs has developed EV Doctor, a compact, AI-powered device that diagnoses EV battery health in just 15 ...

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To delineate the metastatic microenvironment,, researchers in China have ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

NVIDIA has integrated Federated XGBoost with FLARE, boosting machine learning productivity by enabling concurrent experiments, fault tolerance, and enhanced tracking.