Emerging Distributed AI systems are revolutionizing big data computing and data
processing capabilities with growing economic and societal impact. However, recent studies …

This research project investigates the impact of prompt engineering, a key aspect of chat
generative pretrained transformer (ChatGPT), on college students' information retrieval in …

The advent of artificial intelligence-generated content (AIGC) represents a pivotal moment in
the evolution of information technology. With AIGC, it can be effortless to generate high …

Featured Application This paper helps to summarize the most relevant information on
reactive transport models used to simulate the transport of hydrocarbons. The authors hope …

Vision-language models are growing in popularity and public visibility to generate, edit, and
caption images at scale; but their outputs can perpetuate and amplify societal biases …

Synthetic data serves as an alternative in training machine learning models, particularly
when real-world data is limited or inaccessible. However, ensuring that synthetic data …

The advancement of visual intelligence is intrinsically tethered to the availability of data. In
parallel, generative Artificial Intelligence (AI) has unlocked the potential to create synthetic …

The importance of uncertainty quantification is increasingly recognized in the diverse field of
machine learning. Accurately assessing model prediction uncertainty can help provide …

Quantum vortices in atomic Bose–Einstein condensates (BECs) are topological defects
characterized by quantized circulation of particles around them. In experimental studies …

Background: Clinical trial is a crucial step in the development of a new therapy (eg,
medication) and is remarkably expensive and time-consuming. Forecasting the approval of …