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

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

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.

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

School districts in every state now have the green light to establish competency-based education programs and models in their classrooms—but they have a lot of work to do on the operational side to ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

A recent study suggests that although there is growing interest in skills- and competency-based learning, few colleges and universities have actually implemented the new model. The report, released ...

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

Policymakers must work alongside educators and industry leaders to develop high-quality, equitable work-based learning models that bring these opportunities to more students. These are all examples of ...