Latest AI and machine learning research in health policy for healthcare professionals.
Groundwater, which is utilized to supply water demand in various sectors such as domestic water cons...
The swift evolution of telehealth has revolutionized how medical professionals deliver healthcare ...
This paper presents an automatic method for the design of Neural Networks (NNs) at the edge, enabl...
Enhancing the reasoning capabilities of large language models effectively using reinforcement lear...
Optimizing performance and energy efficiency in many-core processors, especially within Non-Unifor...
Traditional RLHF optimizes language models with coarse, scalar rewards that mask the fine-grained ...
Limited access to mental healthcare, extended wait times, and increasing capabilities of Large Lan...
Text-to-multiview (T2MV) generation, which produces coherent multiview images from a single text p...
The detection of mental health problems from social media and the interpretation of these results ...
Timely and personalized treatment decisions are essential across a wide range of healthcare settin...
This position paper argues that Mean Opinion Score (MOS), while historically foundational, is no l...
Street visual quality improvement plays an important role in urban development. An important directi...
Natural disasters are increasing in frequency and severity, causing hundreds of billions of dollar...
Groundwater drought, a prolonged period of abnormally low groundwater levels, poses a significant th...
The rapid progress in diffusion-based text-to-image (T2I) generation has created an urgent need fo...
Recent years have seen rapid development of artificial intelligence (AI) technology revolutionizing ...
Over 2.6 billion people remain without access to the Internet in 2025. This phenomenon is especial...
When applying offline reinforcement learning (RL) in healthcare scenarios, the out-of-distribution...
While bariatric and metabolic surgery (MBS) is considered the gold standard treatment for severe a...
Conformal prediction (CP) provides sets of candidate classes with a guaranteed probability of cont...
Bias in Large Language Models (LLMs) significantly undermines their reliability and fairness. We f...