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 ...

How should students use AI in the classroom? This question keeps coming up in every conversation about AI in education. And most of the answers fall into two unhelpful camps: ban it completely or let ...

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, ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...

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 ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

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

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