IDSC Innovation Director, Director of IDSC AI and Machine Learning, and Knight Foundation Endowed Chair of Data Science and AI, Dr. Yelena Yesha will speak at an “Obstetrics, Gynecology, and Reproductive Sciences” (AMA PRA Category 1 credit) lecture series hosted by UHealth on Thursday, April 25, 2024 from 7:00-7:00 AM EST via ZOOM. Read more ““AI Applications for Obstetrics” UHealth Lecture by Dr. Yelena Yesha 4/25”
Artificial Intelligence
IDSC is pleased to announce the recipients of its limited funding opportunity in Generative AI. The response to the call for proposals was exceptionally strong, with submissions received from all three campuses: Coral Gables, Miller School of Medicine, and Rosenstiel School of Marine, Atmospheric, and Earth Science. Read more “Announcing IDSC Generative AI Grant Awardees”
Artificial Intelligence
IDSC Innovation Director, Director of IDSC AI and Machine Learning, and Knight Foundation Endowed Chair of Data Science and AI, Dr. Yelena Yesha will speak at an “Obstetrics, Gynecology, and Reproductive Sciences” (AMA PRA Category 1 credit) lecture series hosted by UHealth on Thursday, April 25, 2024 from 7:00-7:00 AM EST via ZOOM. Read more ““AI Applications for Obstetrics” UHealth Lecture by Dr. Yelena Yesha 4/25″
AI + Machine Learning
Frost Institute for Data Science and Computing (IDSC) is pleased to announce a new funding opportunity in generative AI for UM Faculty. We envision up to four awards, each with $35K in funding and 2M SUs. Read more “NOW CLOSED: Call for Proposals in Generative AI”
Frost Institute for Data Science and Computing (IDSC) is pleased to announce a new funding opportunity in generative AI for UM Faculty. We envision up to four awards, each with $35K in funding and 2M SUs.
Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on.
Proposals that examine the use of generative AI across the University enterprise are encouraged including but not limited to ethical use, educational issues, new techniques, and application to advance science, business, medicine, engineering, law, and the humanities.
The research team will prepare a three-page proposal that outlines the research and the specific use of generative AI. The proposal should also include a short discussion of potential external funding mechanisms that the proposed work can use to enhance the competitive position of the research team. The application should include an abbreviated 1-page biosketch and a budget with justification using the templates included in this announcement.
Proposal submission deadline is January 12, 2024. Please see below for program important dates and deadlines. Register for our Zoom Information Session on 12/12 at 4:30 PM.
The research team is required to submit an interim report midway through the performance period. The one-page report should include a brief description of the project’s progress and an overview of the financial situation. Upon project completion, the research team will submit a one-page final report detailing any accomplishments attributed to the work of this project [publications, proposal submission(s) for extramural funding, data sets generated, etc.] and give an oral presentation describing the research and results as part of IDSC’s seminar series. Scheduling of the oral presentation will be coordinated by IDSC’s Engagement Office.
Applications will be reviewed by an evaluation committee to determine feasibility, relevance to IDSC programs, and in terms of how the proposed research will put the team in a more competitive position for external funding.