Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

A factual look at how probability models are used to create fair and engaging mechanics in tennis-themed digital games ...

How much alcohol is “too much,” in terms of cancer risk? Identifying causes helps us make decisions — both as individuals and ...

Covariate adjustment can offer several potential benefits in the analysis of cluster randomised trials. These benefits ...

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...

This study presents a fundamental discovery of how cerebellar climbing fibers modulate plastic changes in the somatosensory cortex by identifying both the responsible cortical circuit and the ...

There has been growing interest in the adoption of complex systems approaches to tackle major public health challenges such as obesity. This perspective redirects focus from individually oriented and ...