Choosing the right generative AI architecture is crucial for professional problem-solving applications. Generalist models ...

As Japanese society increasingly gets global, a new study finds that its education system has not kept pace. Students with ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Horizontal partitioning here means hospitals have datasets with different patients, but the same type of data on each patient. In addition, we show how to securely compute the Schoenfeld residuals on ...

When we confuse how students learn with how we teach, we risk misalignment. This post is an attempt to clarify key terms that support teaching and learning.

Here we use a distinction rooted in animal learning and now formalized in computer science to show that explicit evaluations are responsive to model-free and model-based reinforcement learning, ...

The proposed system model for HAFedL: A hessian-aware adaptive privacy preserving horizontal federating learning scheme for IoT applications is depicted in the figure.

Federated learning (FL) enables distributed participants to collaboratively train a machine learning model without accessing to their local data. In FL systems, the selection of training samples has a ...

Howard Gardner’s Theory of Multiple Intelligences offers a valuable psychological framework for comprehending these differences to consequently craft educational experiences that resonate with each ...