New data science-driven alert framework expected to reduce clinician burden by 45% while preserving industry-leading ...

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...

HONOLULU (HawaiiNewsNow) - Kamehameha Schools has faced challenges to its admissions policy in the past. But a new attempt is coming from a conservative activist who’s already won challenges against ...

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 ...

Abstract: The initial version of ProgTutor, a learning framework designed to teach the fundamentals of computer programming in a personalized and applied manner, is presented here. The main ...

The early and accurate diagnosis of Alzheimer's Disease and Frontotemporal Dementia remains a critical challenge, particularly with traditional machine learning models which often fail to provide ...

Abstract: In the industrial Internet of Things (IIoT) scenarios, federated learning (FL) provides a privacy-preserving solution for utilizing industrial data. At the same time, blockchain integration ...

Challenge-based learning is a form of collaborative and project-based learning in which students band together to help solve a local or national problem in a way that furthers their learning.

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, ...