Tag: UF AI

Earn AI Micro-Credential Through UF

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Enabling the workforce of tomorrow with artificial intelligence skills is one of the tenets of the University of Florida’s AI Initiative. To support organizations successfully managing the AI transformation in the workplace, UF is now offering the opportunity to earn a micro-credential in AI.

Offered through the Office of Professional and Workforce Development (OPWD), all courses in the program are online. Earning the AI micro-credential provides alumni, community members, and faculty and staff a way to develop their foundation in machine learning and its impacts across a range of careers and disciplines. Designed for working professionals, the program is an affordable way to learn the lexicon of artificial intelligence, its current uses, and understand the near-limitless possibilities of the AI-supported environment–all within UF standards of course delivery and content.

The micro-credential is earned after completing two required courses and a self-selected focus area course. The two required courses (each a 15-hour commitment) teach key concepts and foundations of artificial intelligence. Upon completion of the required courses, participants select a focus area to earn their AI micro-credential and badge, which can be displayed on LinkedIn or other online portfolio.

Anyone wanting more information on the AI micro-credential is welcome to contact the OPWD’s Director, Andrew Campbell.

Empowering Women in HPC and AI

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Even as artificial intelligence (AI) and high performance computing (HPC) jobs grow, the gender imbalance remains strong. According to a 2020 World Economic Forum report, women fill only 26% of AI positions. To strengthen the engagement of women involved in AI and supercomputing, UF recently launched its chapter of Women in HPC. The WHPC chapter will offer educational opportunities, networking, and foster community across disciplines for female faculty, staff, and students.

To celebrate the chapter launch, UFIT is hosting the first Women in HPC and AI panel on Tuesday, Oct. 5, from 12:00-1:00 p.m. The virtual panel features four distinguished faculty and a senior Medical AI member of NVIDIA:

● Alina Zare, Professor, Herbert Wertheim College of Engineering
● Jasmine McNealy, Associate Professor, College of Journalism and Communications
● Ragnhildur Bjarnadottir, Assistant Professor, College of Nursing
● Tina Tallon, Assistant Professor, College of the Arts
● Mona Flores, Global Head of Medical AI, NVIDIA

Panelists will discuss their experiences in the field and share career advice. Participants can ask questions during the Q&A session following the panel discussion. This event is free, but registration is required. Everyone in UF’s community is welcome to attend. To become a member of the UF WHPC chapter, please complete the form on the WHPC website and select “University of Florida” on the chapter list.

Develop Competencies with Practicum AI

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Registration is now open for the first-ever offering of Practicum AI. The program runs Sept. 7 through Nov. 30.

Practicum AI is comprised of hands-on learning experiences designed to teach the coding skills and conceptual AI understanding needed to apply AI methods. The Practicum AI consists of a core set of modules as well as specializations in particular types of AI methods. UFIT is offering the first iteration of Practicum AI face-to-face, with the inaugural participants helping to guide and refine the program for future offerings. Anyone considering applying should note that additional work outside of class time is required to prepare and complete the exercises. For the fall 2021 program, Practicum AI participants are expected to have basic proficiency in Python.

Practicum AI enrollment is limited to 25 participants. The Sept. 7 introductory presentation, held via Zoom, is open to everyone. After the introductory presentation, remaining sessions will be on Zoom as well in person in the UF Informatics Institute seminar room on Tuesdays from 10:40 a.m. to noon. For more information, contact Research Computing Training Team Lead Matt Gitzendanner.

Options for Using HiPerGator and HiPerGator AI

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HiPerGator and HiPerGator AI can be used for teaching and research by UF faculty and faculty from Florida’s state universities. Options for using University of Florida supercomputing resources are as follows:

1. For teaching a class, allocations are free and last for one semester.
2. For research, allocations can be purchased for periods ranging from three months to several years. The rates are listed at https://www.rc.ufl.edu/services/rates/.
3. A free three-month trial allocation may also be requested. Trial allocations can be used to develop a course and to explore HiPerGator’s use for research. Interested faculty should complete the trial application form. Upon completion of the trial period, faculty will work with UFIT to find the best way forward for continuing their use of HiPerGator and HiPerGator AI.
4. Colleges and departments can also request a free three-month trial allocation to be shared between faculty in the unit. This option provides access for learning about AI and preparing to include AI in courses at no cost to individual faculty. Details of a basic AI Starter Allocation are available on the https://www.rc.ufl.edu/artificial-intelligence page.

HiPerGator has been successfully operating on the financial model described above since 2013. Financial support is due to significant investment from the Provost and Senior VP for Academic Affairs, the VP for Research, and the Office of the VP and CIO. Anyone with questions about UFIT’s computational resources and support for teaching or research may contact UFIT Research Computing Director Erik Deumens.

Launching UF’s AI Initiative

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On July 21, the University of Florida announced its partnership with NVIDIA, the multi-national technology company that is the world leader in artificial intelligence (AI). This $70 million initiative will enable UF researchers to solve global challenges, provide unprecedented access to the most powerful AI tools, transform how UF educates its students, and help create the workforce for tomorrow.

The opportunities to profoundly impact the world and lead the way in research and discovery will be powered by HiPerGator and the supercomputing environment built and managed by UFIT. Along with recent enhancements to storage and facilities improvements, UFIT will complete the installation of the NVIDIA GPU system (NVIDIA DGX SuperPOD™ architecture) and design and deploy other required components to support the HiPerGator 3.0 go-live scheduled for January, 2021.

More information about this first-of-its-kind partnership for AI in higher education are available via the following resources:

■ https://ai.ufl.edu/
■ UF Press Release
■ NVIDIA Partnership Announcement