Generative AI (GenAI) is a type of artificial intelligence (AI) that can create a wide variety of data, such as images, videos, audio, text, and 3D models. It does this by learning patterns from existing data, then using this knowledge to generate new and unique outputs. GenAI is capable of producing highly realistic and complex content that mimics human creativity, making it a valuable tool for many industries such as gaming, entertainment, and product design. The University of Southern California (USC) recently launched the Center for Generative Artificial Intelligence and Society to examine how GenAI is reshaping the way humans live, work, learn, and play, and how it can be leveraged for the common good. USC has played a seminal role in the development of GenAI, and is poised to be an international leader in pioneering the use of GenAI to solve complex problems, create art, and even assist in scientific research. Given that the implications of this quickly advancing technology across all industries, disciplines, and fields is substantial, USC aims to provide funding for critical and timely cutting-edge research on GenAI.
Deadline: 5 PM Pacific Time, October 9, Annually View the RFP for full proposal requirements. |
Proposal Submission
Proposals must be submitted via our Grant Portal.
For additional information or inquiries, please contact us at rii@usc.edu.
Awardees
Past Awardees
2024
Hosung Kim, Keck School of Medicine of USC
Michael Khoo, USC Viterbi School of Engineering
Yaqiong Chai, Keck School of Medicine of USC
Simulation of realistic motion artifacts and correction of motion-affected MRI Images via a conditional diffusion probabilistic model
Paul Thompson, Keck School of Medicine of USC
Jose-Luis Ambite, USC Viterbi School of Engineering
Generative AI-Based Tractometry to Reveal Brain Fiber Tract Abnormalities in Alzheimer’s and Parkinson’s Disease
Ruishan Liu, USC Viterbi School of Engineering
Large Language ModelsBased AI Solutions for Clinical Trial Enrollment and Design
Xiaohui Chen, USC Dornsife College of Letters, Arts & Sciences
Quntao Zhuang, USC Viterbi School of Engineering
Quantum Empowered Generative Artificial Intelligence
2023
Rehan Kapadia, USC Viterbi School of Engineering
Swabha Swayamdipta, USC Viterbi School of Engineering
Matteo Sesia, USC Marshall School of Business
Ian Erenreich, USC Dornsife College of Letters, Arts & Sciences
Jayakanth Ravichandran, USC Viterbi School of Engineering
Mahdi Soltanolktabi, USC Viterbi School of Engineering
Democratizing Semiconductor Manufacturing through Generative AI Copilots
Thank you for your interest in the Office of Research Innovation award programs.
All award programs are currently on hold pending confirmation of our FY25 budget.
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For information regarding the Associates Award nominations, please click here or contact rii@usc.edu.
Thank you for your patience.
Silvia
SILVIA DA COSTA, PH.D.
University of Southern California
Director, Research Initiatives and Infrastructure