Latest AI and machine learning research in health policy for healthcare professionals.
Game-theoretic approaches and Nash equilibrium have been widely applied across various engineering domains. However, practical challenges such as disturbances, delays, and actuator limitations can hinder the precise execution of Nash equilibrium strategies. This work explores the impact of such implementation imperfections on game trajectories and players' costs within the context of a two-playe...
High-quality test datasets are crucial for assessing the reliability of Deep Neural Networks (DNNs). Mutation testing evaluates test dataset quality based on their ability to uncover injected faults in DNNs as measured by mutation score (MS). At the same time, its high computational cost motivates researchers to seek alternative test adequacy criteria. We propose Latent Space Class Dispersion (L...
We consider multiple transmitters aiming to communicate their source signals (e.g., images) over a multiple access channel (MAC). Conventional commu...
To uncover how AI agents change productivity, performance, and work processes, we introduce MindMeld: an experimentation platform enabling humans an...
Approximate nearest neighbor search (ANNS) is a fundamental problem in vector databases and AI infrastructures. Recent graph-based ANNS algorithms h...
The size of a model has been a strong predictor of its quality, as well as its cost. As such, the trade-off between model cost and quality has been ...
Deep learning has become an essential part of computer vision, with deep neural networks (DNNs) excelling in predictive performance. However, they o...
During the compression, transmission, and rendering of point clouds, various artifacts are introduced, affecting the quality perceived by the end us...
The five senses are gateways to our wellbeing and their decline is considered a significant public health challenge which is linked to multiple cond...
We present a supervised dimensionality reduction technique called Convex Linear Discriminant Analysis (ConvexLDA). The proposed model optimizes a mu...
Ease of access to data, tools and models expedites scientific research. In structural biology there are now numerous open repositories of experiment...
A mobile agent has to find an inert target in some environment that can be a graph or a terrain in the plane. This task is known as treasure hunt. W...
While recent advancing image super-resolution (SR) techniques are continually improving the perceptual quality of their outputs, they can usually fa...
Background: Social determinants of health (SDoH) play a crucial role in influencing health outcomes, accounting for nearly 50% of modifiable health ...
Chain-of-Thought (CoT) reasoning enhances large language models (LLMs) by decomposing complex problems into step-by-step solutions, improving perfor...
Cloud compute systems allow administrators to write access control policies that govern access to private data. While policies are written in conven...
Full-reference image quality assessment (FR-IQA) generally assumes that reference images are of perfect quality. However, this assumption is flawed ...
It is clear that artificial intelligence-based chatbots will be popular applications in the field of healthcare in the near future. It is known that m...
Text-to-image models like stable diffusion and DALLE-3 still struggle with multi-turn image editing. We decompose such a task as an agentic workflow...
The cloud computing model enables the on-demand provisioning of computing resources, reducing manual management, increasing efficiency, and improvin...