Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.

Currently hierarchical data models (HDM) must be generated with the same EDA tool that customers will use to consume the HDM ...

Interventions targeting drinking water safety and responsible dog management could reduce echinococcosis incidence in China.

Across 222 effect sizes, a hierarchical random-effects model showed no meaningful difference between fasted and satiated participants.

In AI research, progress is often equated with size. But a small team at Samsung’s AI lab in Montreal has taken another approach that is proving to show great promise. Their new Tiny Recursive Model ...

A new KAUST-developed workflow helps researchers efficiently test and validate the assumptions underlying complex statistical models to ensure more reliable results.