Holistic Education, Private Universities, English Classroom Model, ASK Framework, Blended Learning, Pedagogical Efficacy, Quasi-Experimental Design Share and Cite: Yan, R. (2025) Research on Pathways ...

Our brain's remarkable ability to form and store memories has long fascinated scientists, yet most of the microscopic mechanisms behind memory and learning processes remain a mystery.

This isn't just about technical training; it's about reimagining learning in the AI era ... This gap threatens to limit the potential of generative AI, with LinkedIn’s research confirming that ...

By applying the LAADS (Learner-centered, Authentic, Active, Differentiated, and Skill-based) model, the research explored how motivation-driven, skill-based learning experiences could enhance ...

On the scientific front, however, the implications of stem cell research are even more profound than offering replacement parts. Recent findings reveal that a true paradigm shift may be in the works.

This repository offers a Python Package for the PyTorch implementation of the APTx activation function, as introduced in the paper "APTx: Better Activation Function than MISH, SWISH, and ReLU's ...

This is where the Carve-DL research project comes in: an AI-based solution that can recover files that are difficult to reconstruct by the use of learning algorithms to sustainably improve the ...

Abstract: Federated Learning (FL) is an emerging learning paradigm facilitating privacy-preserving machine ... to actively participate in training is a highly relevant area of research within ...

Scientists used advanced data analysis and machine learning to identify the viral ... SARS-CoV-2 and autoimmune diseases epitopes." Research was supported by the National Library of Medicine ...

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...

The above assumptions about the relationship of target weights to y*, and the drift described by equation (41), are exact in the teacher-student learning paradigm. In the cerebellar learning ...