India witnessed a significant surge in GenAI learning in 2025 as professionals, students, and working learners sought to upgrade skills in AI-driven roles. With emerging AI technologies reshaping ...

Abstract: The discriminant ability of features plays a central role in classification tasks. Deep learning (DL) utilizes back-propagation to yield discriminant features with an end-to-end depth ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Students continue to pursue postsecondary education—particularly Latino and Black students—and a growing share of those applicants are choosing to submit SAT and ACT scores even when institutions are ...

Johan Ferreira receives funding from the Centre of Excellence in Mathematical and Statistical Sciences, based at the University of the Witwatersrand, towards this Scholarship of Learning and Teaching ...

Purpose: To assess medical students’ needs regarding statistics education and inform potential reforms in medical statistics teaching. Method: A self-administered questionnaire survey was conducted ...

Is this real life? Is this just fantasy? A growing number of scientists are suggesting that the idea that we are all living in a simulation may not be completely far-fetched. Simulation theory is the ...

Editor’s note: This is part of a series of stories featuring master’s degree programs at the University of Chicago. Bradley Stoller knew the University of Chicago was an ideal fit to pursue a master’s ...

Abstract: Optimal Transport (OT) theory has seen increasing attention from the computer science community due to its potency and relevance in modeling and machine learning (ML). OT provides powerful ...