Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Quantum federated learning (QFL) merges the privacy advantages of federated systems with the compu...
Clinical cohort definition is crucial for patient recruitment and observational studies, yet trans...
Recent advancements in probing Large Language Models (LLMs) have explored their latent potential a...
Deadlocks are a major source of bugs in concurrent programs. They are hard to predict, because the...
Deep learning models lack shift invariance, making them sensitive to input shifts that cause chang...
A four-dimensional light field (LF) captures both textural and geometrical information of a scene ...
We present M2-omni, a cutting-edge, open-source omni-MLLM that achieves competitive performance to...
Background: Recruitment for cohorts involving complex liver diseases, such as hepatocellular carci...
Domain shift presents a significant challenge in applying Deep Learning to the segmentation of 3D ...
We present mean-shift distillation, a novel diffusion distillation technique that provides a prova...
The application of large language models (LLMs) in healthcare has the potential to revolutionize c...
Motor skill acquisition in fields like surgery, robotics, and sports involves learning complex tas...
Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities across a range of m...
Mentoring software is a pivotal innovation in addressing critical challenges in teacher developmen...
Speech foundation models trained at a massive scale, both in terms of model and data size, result ...
Transformers have become the backbone of neural network architecture for most machine learning app...
Automating planning with LLMs presents transformative opportunities for traditional industries, ye...
Large language models (LLMs) require immense resources for training and inference. Quantization, a...
We present SkyReels-A1, a simple yet effective framework built upon video diffusion Transformer to...
Facial expression recognition (FER) systems in low-resolution settings face significant challenges...
Drone-based RGBT object detection plays a crucial role in many around-the-clock applications. Howe...