The Phi-4 model was trained on just 1.4 million carefully chosen prompt-response pairs. Instead of brute force, the Microsoft Phi-4 research team focused on “teachable” examples at the edge of the ...

In a world where speed drives success, AI-native research stands out not merely as a tool but as providing a competitive edge ...

The Republican-authored reporting requirements include asking women seeking an abortion in Michigan about their age, race and ...

Synthetic data has emerged as an alternative solution. Various options abound, a viable approach is engineered off real data ...

The global clinical trials market is anticipated to grow at a CAGR of 6-7% from 2024 to 2029. This growth is driven by the ...

A data audit helps you understand where collection methods are falling short, quality may be compromised & usage simply isn’t ...

A research team from Memorial University has been granted access to the largest collection of cancer data in Canada, known as ...

This article is authored by Geeta Singh Rathore, director general and MS Subramanya Rao, deputy director general, National Statistics Office.

Learn which AI research tools draft journals, run meta-analyses, create slides, and find grants, plus tips on balancing ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

Hand in hand with transparency is accountability. Promises about how data will be used only matter if they’re kept.