U of A professor Roberto Furfaro was recently awarded $4.5 million to develop AI-powered hypersonic guidance and navigation systems. The university is also the lead host for the Center of Quantum Networks, with core partners including Harvard University, the Massachusetts Institute of Technology and Yale University.

A recent analysis by U of A professor of law Barak Orbach and his son Eli Orbach says the increasing demand for resources such as electricity and water from data centers that support the needs of artificial intelligence will tax utilities' service capacity and result in higher prices.

U of A hosted the 2024 Computational Methods in Water Resources (CMWR) Conference, which featured technical sessions and keynote talks on cutting-edge applications of artificial intelligence, high-performance computing, and water management..

Dr. Michael Morris, associate professor at the University of Arizona College of Medicine, highlighted that while senior radiologists typically achieve around 80% diagnostic accuracy, AI could play a crucial role in bridging this gap.

Tim Schwab and Teresa Banks from the University Information Technology Services raise awareness about the challenges of AI-generated phishing emails.

The Data Science Institute is launching the “AI Zone,” a mobile, interactive exhibit designed to demystify artificial intelligence and machine learning for diverse audiences.

The University of Arizona is actively exploring how to integrate artificial intelligence (AI) into its workflows while addressing concerns about data security and cost.

Associate professor of architecture Jonathan Bean shares his perspective on how AI can be a tool for a more sustainable future.

Damon Leverett from the College of Information Science shares his perspective on how emerging technologies, such as AI, are enhancing our ability to process and apply vast amounts of data more effectively.

Director of the Center for Semiconductor Manufacturing and professor of electrical and computer engineering, Liesl Folks, discusses how access to semiconductors is shaping AI and what the National Academies report's recommendations could mean for its future.