A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

Purdue’s PDID benchmark tests deepfake tools on real social media content, showing why false-acceptance rates matter for enterprise security.

Abstract: Agriculture is pivotal for the economy of a country as it is a major source of food, employment and raw materials. However, challenges such as diseases, soil degradation, and water scarcity ...

Abstract: The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light ...