Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Instruction-based computer control agents (CCAs) execute complex action sequences on personal comp...
The Semantic Layered Embedding Diffusion (SLED) mechanism redefines the representation of hierarch...
We introduce Qwen2.5-1M, a series of models that extend the context length to 1 million tokens. Co...
Key-Value (KV) cache facilitates efficient large language models (LLMs) inference by avoiding reco...
Training semantic segmenter with synthetic data has been attracting great attention due to its eas...
The differentiable shift-variant filtered backprojection (FBP) model enables the reconstruction of...
The success of deep learning (DL) is often achieved with large models and high complexity during b...
The Text-to-Image (T2I) diffusion model is one of the most popular models in the world. However, s...
This work introduces a novel Retention Layer mechanism for Transformer based architectures, addres...
Ensuring safe separation between aircraft is a critical challenge in air traffic management, parti...
In the contemporary context of rapid advancements in information technology and the exponential gr...
Accurate medical image segmentation is often hindered by noisy labels in training data, due to the...
Network services are increasingly managed by considering chained-up virtual network functions and ...
Deep learning models in medical imaging face dual challenges: domain shift, where models perform p...
Given an isolated garment image in a canonical product view and a separate image of a person, the ...
Federated- and Continual Learning have been established as approaches to enable privacy-aware lear...
Self-supervised learning (SSL) has significantly advanced image representation learning, yet effic...
Underwater imaging grapples with challenges from light-water interactions, leading to color distor...
Spatial scheduling of electrode activation ("rastering") is essential for safely operating high-de...
Scaling laws for language models have often focused on finding the optimal model size and token co...
Electric Vertical Take-off and Landing vehicles (eVTOLs) are driving Advanced Air Mobility (AAM) t...