Jack Myers, a lecturer at the University of Arizona's School of Information Science, offers insights into the transformative impact of AI on the workforce.

The inaugural U of A Public Health & AI Summer School kicked off June 9 and included four days of workshops and hands-on learning to explore how artificial intelligence can be used in the public health arena with readily available tools such as those that allow researchers to collect digital data from multiple sources and analyze it quickly.

University of Arizona researchers and software engineers are among a team of researchers to create MDRepo—the first open-access repository for molecular dynamics simulations.

Researchers at the University of Arizona are using wearable sensors and artificial intelligence to detect the onset of labor, a development they say could transform pregnancy care.

Researchers from the University of Arizona and Radboud University used AI to reveal that Sagittarius A*, the Milky Way’s central black hole, is spinning near its maximum possible speed.

Each of these unique programs offers convenience via online formats, exceptional ROI, career growth and earning potential, cutting-edge curriculum, access to world-class, award-winning faculty and the opportunity to connect with the global alum community of more than 300,000 University of Arizona Wildcats.

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and machine learning (ML) are making waves with how they're increasing understanding of the most fundamental particles. Central to this exploration are parton distribution functions (PDFs). These complex mathematical models are crucial for predicting outcomes of high energy physics experiments that test the Standard Model of particle physics.

At the University of Arizona Health Sciences, researchers are using artificial intelligence and wearable sensors to revolutionize health care. Dr. Shravan Aras is leading efforts to turn devices like smart rings into tools that can predict health events such as the onset of labor well before symptoms appear. In one study, an AI model accurately forecasted labor up to a week in advance using minute-by-minute temperature data. In another, walking through a natural environment significantly reduced stress levels compared to urban settings. These innovations highlight the University of Arizona’s commitment to proactive, technology-driven health solutions.

University of Arizona faculty are confronting a surge in AI-assisted cheating, with professors like Patty Machelor and Irene McKisson adapting their teaching to meet the challenge. As detection tools remain unreliable and policies lag behind, they’re turning to creative, student-centered strategies to promote academic integrity in the age of generative AI.

University of Arizona researchers, including Dr. Chi-kwan Chan, are using AI and high-throughput computing to unlock new insights into black holes. A recent study revealed that Sagittarius A* is spinning near its maximum speed, challenging past theories and highlighting the power of AI-driven analysis in advancing astrophysics.