How should students use AI in the classroom? This question keeps coming up in every conversation about AI in education. And ...

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

As the use of Unmanned Aerial Vehicles (UAVs) expands across various fields, there is growing interest in leveraging Federated Learning (FL) to enhance the efficiency of UAV networks. However, ...

New research shows learning erosion is real—but evidence-anchored design, governance, and assessment can turn AI into an ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Physical learning environments (PLEs)—including classrooms, schools, and networks of facilities—play a critical role in shaping educational outcomes. The World Bank’s RIGHT+ framework offers guidance ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

From declining enrollments to equity gaps and growing concerns about student belonging, the pressures on colleges and universities—especially those serving first-generation and regional student ...