Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model achieved high accuracy and a low false-positive rate, with only 32% of human ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

A novel multi-task Extreme Gradient Boosting (XGBoost) model using electronic health record (EHR) data showed good-to-excellent accuracy in predicting antimicrobial resistance profiles of Escherichia ...

NVIDIA announced updates to its GPU-accelerated deep learning software that will double deep learning training performance. The new software will empower data scientists and researchers to supercharge ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...