Why Simulation-Based Learning Matters In An AI-Driven Workforce

Simulation-based learning approaches this challenge differently. Rather than optimizing for knowledge transfer, simulations ...

Interpretability in deep learning for finance: A case study for the Heston model

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
EurekAlert!

A unified objective for dynamics model and policy learning in model-based reinforcement learning

Recently, model-based reinforcement learning has been considered a crucial approach to applying reinforcement learning in the physical world, primarily due to its efficient utilization of samples.
The American Journal of Managed Care

Machine Learning May Enable Earlier Detection of CKD Risk Factors

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Analytics Insight

Best Machine Learning Bootcamps in 2026 to Start Your AI Career

Overview:Machine learning bootcamps focus on deployment workflows and project-based learning outcomes.IIT and global programs provide flexible formats for appli ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Henrico Citizen

‘The classrooms of the future’ – Henrico Schools to expand ‘team-based’ learning to more elementary and high schools

Nine Henrico schools have implemented a new teaching model, “Next Education Workforce,” for certain grade levels, which allows teachers for different subjects to focus on one combined cohort of ...