Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

Strategic focus now centers on further automation and employer-related growth, as expense reductions are planned to be reinvested according to the company's multi-year performance model. Management ...

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an issue is discovered, hundreds of bad decisions could already have been made.

Maternal mortality remains disproportionately high in low-income and middle-income countries, where pyramidal health systems ...

In today’s post, I am covering a very important strategy in teaching vocabulary: the Frayer Model. This graphic organizer has transformed the way educators introduce and explore new words across ...

Enterprises across industries, from energy to finance, use optimization models to plan complex operations like supply chains and logistics. These models work by defining three elements: the choices ...

Niral Shah does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

Accurate simulation of crop growth processes for predicting final yield is critical for optimizing resource management, particularly in regions with variable climates and limited resource availability ...

Large language models have made impressive strides in mathematical reasoning by extending their Chain-of-Thought (CoT) processes—essentially “thinking longer” through more detailed reasoning steps.

ABSTRACT: The present study aimed to examine the impact of emotion regulation on depression symptoms, with a particular focus on the mediating roles of social anxiety and loneliness among Chinese ...