Bayesian statistical models could help address recruitment challenges, but experts agree that sponsors must first understand – and be prepared - for the additional work required to implement them ...

According to the researcher, the approach has the potential to monitor and prevent a number of other environmental problems, such as fires, deforestation, land subsidence, and desertification (image: ...

Cambridge, MA – Let’s say an environmental scientist is studying whether exposure to air pollution is associated with lower birth weights in a particular county. They might train a machine-learning ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

This is the official code for the paper S. Wang, M. Ji, "A lightweight method for tackling unknown participation statistics in federated averaging," in International Conference on Learning ...

Healthcare organizations have access to more data than ever before. Whereas in the past they were mostly limited to data from labs and electronic data capture (EDC) systems, they now have vast swaths ...

Learn what inventory accounting is, how it works, and key methods like FIFO, LIFO, and WAC. Includes real-world examples, tips, and best practices. I like to think of inventory accounting like ...

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health care ...