Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...
Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...
This study addresses an important question and shows how social navigation in homing pigeons can be explained by simple averaging, without requiring any complex cognitive abilities. The evidence, ...
This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily. Understanding how task knowledge ...
Learn how to use the High-Low Method to separate fixed and variable costs efficiently. Discover its applications, limitations, and how to calculate costs.
At SlatorCon Silicon Valley 2025, Cohere’s Multilingual Team Lead shared an inside look at building multilingual LLMs and advancing AI translation.
Delphi-2M is the first open source, large-scale model for predicting a patient’s disease risk and when it may occur.
As companies explore AI technologies they can deploy right away, Retrieval Augmentation (RAGs) are emerging as a quick and easy win.
The primary work of an experimental model basin is the estimation, with reasonable accuracy, of the resistance and horse-power of full-sized ships from experiments with small and inexpensive models.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback