Tag: AIatUF

The University of Florida is increasing its focus on artificial intelligence, from the classroom to campus events. UF is holding its inaugural AI Days starting Thursday to showcase how it is building an AI-focused university. The events come as UF is integrating AI into its curriculum, providing students with a growing number of options to develop AI-related skills to prepare them for the workforce.

The University of Florida has set aside October 27-28, 2022, as AI Days to welcome new AI faculty to UF and highlight the research and educational activities around campus. On Thursday, Oct 27th, UF is awarding over $50,000 in prize money to student winners of an AI Pitch Competition and an AI Hackathon. On Friday, Oct 28th, we will have panel discussions highlighting the application of AI to various disciplines. In addition, we will have a poster session for students, postdocs, staff, and faculty to present AI research. There will be ample time both days to meet other colleagues interested in AI. Breakfast and Lunch are provided with some reserved parking as well. Please register and join us at the Emerson Alumni Hall to celebrate UF’s AI Initiative.

Florida is among the first states to adopt a K-12 artificial intelligence, or AI, education program designed to prepare its youth for the growing global demand for an AI-enabled workforce. The framework for the public school coursework was designed with help from UF faculty, including Christina Gardner-McCune, who modeled it after the Artificial Intelligence for K-12 Initiative, or AI4K12.

Patrick Traynor, Ph.D., Professor and John H. and Mary Lou Dasburg Preeminent Chair in Engineering in the Department of Computer and Information Science and Engineering (CISE), and Logan Blue, a Ph.D. student in CISE, write in The Conversation about why detecting audio deepfakes may be even more important than catching video deepfakes.

In one of the most intensive uses yet of the University of Florida’s HiPerGator supercomputer, UF engineers have faithfully reproduced the turbulence and complexity of hot air rising along a wall — a previously impossible simulation with applications in home fire safety and heating and cooling. Thanks to dedicated use of 90% of the HiPerGator’s AI cluster over several days, the research team led by UF engineering professor Sivaramakrishnan “Bala” Balachandar was able to track turbulent eddies of air twisting and swirling on the sub-millimeter level.

The Herbert Wertheim College of Engineering and College of Education have teamed up to host Camp DIALOGS, a project promoting equity in education — aimed at making AI and computer science more accessible to students in lower-income areas.

Working professionals can gain a competitive edge by adding an artificial intelligence (AI) micro-credential through the University of Florida’s Office of Professional and Workplace Development. To earn the micro-credential, participants complete a 15-hour foundation course that focuses on ethics in AI and a second, 15-hour fundamentals course – with a focus on either engineering or STEM.

Damon Woodard, Ph.D., professor in the Department of Electrical and Computer Engineering, has agreed to serve as director of the Florida Institute for National Security (FINS). As part of a new vision, FINS will particularly focus on leveraging the UF AI Initiative to position the state’s flagship university as the nationally recognized premier provider of AI talent for the national security and defense industry, and as an innovation leader in AI-enabled national security.

Nancy Ruzycki, Ph.D., instructional associate professor in the Department of Materials Science & Engineering, is leading multiple K-12 engineering education initiatives to develop the teachers and the students to help fill prospective job openings in AI related fields.

University of Florida researchers have confirmed their artificial intelligence system, known as MySurgeryRisk, is at least as accurate as physicians in predicting surgical complications and sometimes more so. Developing and testing MySurgeryRisk has been a collaborative, interdisciplinary effort involving experts across the UF campus. A group of 22 engineering and medical researchers initially helped to develop and test the algorithm, and researchers from the UF departments of anesthesiology, medicine and electrical and computer engineering contributed to the latest findings.