Latest AI and machine learning research in medical education for healthcare professionals.
Drone Visual Active Tracking aims to autonomously follow a target object by controlling the motion...
Harnessing low-light enhancement and domain adaptation, nighttime UAV tracking has made substantia...
The integration of new literature into the English curriculum remains a challenge since educators ...
Testing autonomous robotic manipulators is challenging due to the complex software interactions be...
Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language ...
Interactive dynamic simulators are an accelerator for developing novel robotic control algorithms ...
This paper describes an online tool for the visualization of medical emergency locations, randomly...
Information sharing is critical in time-sensitive and realistic multi-robot exploration, especiall...
Generative artificial intelligence, especially large language models (LLMs), has the potential to af...
Motion disorders pose a significant global health concern and are often managed with pharmacologic...
Among the measures taken by UVVG to modernize the educational process is the pioneering undertaking ...
This study explores the integration of Large Language Models (LLMs) into nursing education, highligh...
The swift advancement of single-cell RNA sequencing (scRNA-seq) technologies enables the investiga...
Modern OOO CPUs have very deep pipelines with large branch misprediction recovery penalties. Specu...
The integration of large language models (LLMs) like ChatGPT into medical education presents potenti...
Traditional Chinese medicine(TCM) placebos are simulated preparations for specific objects and the c...
This research aimed to examine the effectiveness of artificial intelligence applications in asthma a...
We propose Curriculum by Masking (CBM), a novel state-of-the-art curriculum learning strategy that...
In order to ensure autonomous vehicles are safe for on-road deployment, simulation-based testing h...