We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Along with enabling KubeRay, take your existing Ray-based PyTorch code and use it to build a Docker container that can be ...

Breaking into quantitative finance requires a solid mix of technical knowledge and analytical skills. Aspiring quants face ...

Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...

Kairos is a flexible time series foundation model designed to handle the dynamic and heterogeneous nature of real-world time series data. Unlike existing models that rely on rigid, non-adaptive ...

1 Chongqing Key Laboratory of Childhood Nutrition and Health, Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and ...

Follow ZDNET: Add us as a preferred source on Google. I'm an Apple loyalist, but I don't upgrade my devices every year. Longevity is one of my favorite things about Apple hardware; I can be reassured ...

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. 2 Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia ...

We use the stock selection benchmark dataset from https://github.com/fulifeng/Temporal_Relational_Stock_Ranking/tree/master. To prepare the data: feature_describe ...

This broad data foundation enables Moirai 2.0 to generalize across countless forecasting tasks and domains. With dramatically reduced model size and improved speed, high-quality forecasting can now be ...

The comedy of Monty Python is being honored for the ages. The Royal Mail will issue a series of stamps to mark the contributions of the comedy troupe. The British mail service announced that it will ...