In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Today’s standard operating procedure for LLMs involves offline training, rigorous alignment testing, and deployment with frozen weights to ensure stability. Nick Bostrom, a leading AI philosopher and ...

Personal Perspective: "Normal" isn’t perfection but a statistical range based on population data. Diagnoses compare ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Humpback whales will sometimes use an intricate strategy to catch food called bubble-net feeding. A new study suggests they're spreading the knowledge of how to do it to each other.

Abstract: With the widespread application of online education platforms, the necessity for identifying learners’ mental states from webcam videos is increasing as it can be potentially applied to ...

Purpose: This study investigates the factors leading to college students’ negative learning behavior in small private online courses (SPOCs) and offers suggestions for the optimization of SPOC design ...

Abstract: To effectively integrate the research on learning engagement with teaching practices and accurately assess and analyze students’ learning behavior participation in the classroom to improve ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Note: ***p < .001, **p < .01, *p < .05, Time: the factor indication pre-test and post-test, Interv. = Intervention: indicates whether the group took part in the workshop or not (trial vs. control ...

Introduction: Currently, much of the research on learning engagement has more underlined the individual factors associated with levels of learning engagement among college students, but the ...