If you’re unsure about the load of different AI workloads, start with the cloud and keep a close eye on the associated costs by tagging every resource with the responsible team.

AI inference attacks drain enterprise budgets, derail regulatory compliance and destroy new AI deployment ROI.

Predicting an individual’s behaviour in one task based on their behaviour in a different task is a key challenge in modeling individual decision-making tendencies. We ...

PMI investment in supporting procurement and distribution of malaria control commodities would directly translate into ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

In this article we will explore key differences between Bayesian and traditional frequentist statistical approaches, some fundamental concepts at the core of Bayesian statistics, the central Bayes’ ...

Challenges at the interface of medical statistics and AI are population inference vs. prediction, generalizability, reproducibility and interpretation of evidence, and stability and statistical gua ...

Many methods from statistics and machine learning (ML) may, in principle, be used for both prediction and inference. However, statistical methods have a long-standing focus on inference, which is ...