Latest AI and machine learning research in cultural competence for healthcare professionals.
Aegilops tauschii Coss., a progenitor of bread wheat, is an important wild genetic resource for breeding. The species comprises three genetically defined lineages (TauL1, TauL2, and TauL3), each displaying valuable phenotypes in agronomic traits, including spike shape. In the present work, we studied the relationship between population structure and spike shape variation patterns using a collectio...
Recently, the rectified flow (RF) has emerged as the new state-of-the-art among flow-based diffusion models due to its high efficiency advantage in straight path sampling, especially with the amazing images generated by a series of RF models such as Flux 1.0 and SD 3.0. Although a straight-line connection between the noisy and natural data distributions is intuitive, fast, and easy to optimize, ...
The rapid adoption of generative AI models in domains such as education, policing, and social media raises significant concerns about potential bias...
Metaphors are pervasive in communication, making them crucial for natural language processing (NLP). Previous research on automatic metaphor process...
Surveillance systems play a critical role in security and reconnaissance, but their performance is often compromised by low-quality images and video...
To build fair AI systems we need to understand how social-group biases intrinsic to foundational encoder-based vision-language models (VLMs) manifes...
Fine-tuning Stable Diffusion enables subject-driven image synthesis by adapting the model to generate images containing specific subjects. However, ...
Diagnosing deep neural networks (DNNs) through the eigenspectrum of weight matrices has been an active area of research in recent years. At a high l...
Recent advances in text-to-image (T2I) models have achieved impressive quality and consistency. However, this has come at the cost of representation...
Existing studies of innovation emphasize the power of social structures to shape innovation capacity. Emerging machine learning approaches, however,...
Mutual exclusivity (ME) is a strategy where a novel word is associated with a novel object rather than a familiar one, facilitating language learnin...
Large language models (LLMs) are known to be sensitive to input phrasing, but the mechanisms by which semantic cues shape reasoning remain poorly un...
With the rapid advancement of diffusion models, text-to-image generation has achieved significant progress in image resolution, detail fidelity, and...
Current large language model (LLM) agents lack authentic human psychological processes necessary for genuine digital twins and social AI application...
With the rapid advancement of generative models, the realism of AI-generated images has significantly improved, posing critical challenges for verif...
Culture is a rich and dynamic domain that evolves across both geography and time. However, existing studies on cultural understanding with vision-la...
Recently, Generative Adversarial Networks (GANs) have been successfully scaled to billion-scale large text-to-image datasets. However, training such...
The recent progress of large language model agents has opened new possibilities for automating tasks through graphical user interfaces (GUIs), espec...
DeepSeek-R1 is a cutting-edge open-source large language model (LLM) developed by DeepSeek, showcasing advanced reasoning capabilities through a hyb...
Data heterogeneity plays a pivotal role in determining the performance of machine learning (ML) systems. Traditional algorithms, which are typically...