Quick, predictable, and consistent activities provide a foundation to get students thinking and ready to learn.

By Tanya O’Garra In 2006, Paul Ferraro and Subhrendu Pattanayak issued an urgent warning: conservation lacked the causal ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...

Students are using GenAI whether you’ve addressed it or not. Here’s how to provide the clarity they’re asking for ...

The American Academy of Pediatrics (AAP) recently released updated guidelines on digital ecosystems for children and ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

The trajectory of artificial intelligence has reached a critical inflection point. We know how to scale individual models to hundreds of billions of parameters, yet they still struggle with plasticity ...

One of the main aims of memory research is to devise strategies that would support effective learning. So far, the golden standard of learning guidelines is supposed to involve repeated retrieval ...

Summary: Researchers found that humans and AI share a similar interplay between two learning systems: flexible, quick in-context learning and gradual incremental learning. Experiments showed that AI ...

This repository contains an implementation inspired by the ICLR paper on dynamic representation learning and semantic reorganization in graph-based tasks. The implementation features advanced analysis ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...

Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...