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AI Advances and Applications Virtual Seminar Series – AI Research Catalyst Fund Awardees
September 22 @ 12:00 pm - 1:00 pm
New AI Advances and Applications Virtual Seminar Series starting Fall 2021:
AI Research Catalyst Fund Awardees
Artificial Intelligence (AI) is the next horizon in computational-enabled science and technologies. Efforts to develop and apply robust AI are ongoing across almost all fields of study. Among other benefits, AI promises to revolutionize healthcare, security, transportation, education, manufacturing and the overall human experience. Algorithmic advances in machine learning (ML) along with increased computing power and the advent of “big data” have set AI up to be one of the most powerful technological forces of the 21st century.
The University of Florida has launched a major initiative to engage intellectual interest in AI with the objective of becoming a national leader in AI research and education. As part of this initiative, the AI Research Catalyst Fund is intended to jump start research and collaboration in AI and promote the use of UF’s new computing infrastructure, utilizing GPU technology on the HiPerGator research computing system with an eye towards implementation of new capabilities soon to be installed.
The AI Research Catalyst Fund Awardees are developing projects that: strive to develop new machine-learning and deep-learning algorithms; use AI/ML to develop ways of analyzing heterogeneous data or novel methods for analyzing existing datasets; introduce AI and ML to investigators with little experience in AI/ML; and address foundational issues in AI, its applications to science and engineering problems, and its impacts to society.
Wednesdays, 12:00PM – 1:00PM Via Zoom
Sept. 1, 2021: Yiming Xu [PI Xilei Zhao] “Real-time Forecasting of Dockless Scooter-Sharing Demand: A Context-Aware Spatio-Temporal Multi-Graph Convolutional Network Approach” Register Here.
Sept. 15, 2021: Parker Kotlarz [PI Juan Claudio Nino] “AI-Enabled Imaging Biomarker Identification for Early Detection and Treatment of Alzheimer’s Disease” Register Here.
Sept. 22, 2021: Steven Weisberg “What mind matters? Machine learning approaches to linking structural variation in the brain to individual differences in spatial behavior” Register Here.
Oct. 6, 2021: Tezcan Ozrazgat Baslanti “The Artificial Intelligence learns optimal treatment strategies for hypotension in surgery” Register Here.
Oct. 13, 2021: Chenglong Li “A Machine Learning Approach to Drug Hit Optimization” Register Here.
Oct. 20, 2021: Hassan Azad “Application of Machine Learning in the Prediction and Modeling of Environmental Noise” Register Here.
Oct. 27, 2021: Ray Huffaker “Symbiosis of machine learning, nonlinear time series analysis, and novel supercomputing to reconstruct soil-biome nonlinear dynamics from field and remote-sensing large data” Register Here.
Nov. 3, 2021: Salil Bavdekar [PI Ghatu Subhash] “AI-assisted accelerated discovery of novel materials for ballistic applications” Register Here.
Nov. 10, 2021: Huan Chen “Fairness in Information Access through Culturally Competent AI Systems” Register Here.
Nov. 17, 2021: Emre Tepe “Spatio-Temporal Modeling of Land-Use Changes Using Big Data” Register Here.
Dec. 1, 2021: Brian Odegaard “Combining Deep Neural Networks and Large-Scale Brain Data to Predict Human Cognition and Behavior” Register Here.
Dec. 8, 2021: Qing Lu “A Kernel Neural Network for High-dimensional Genomic Risk Prediction” Register Here.
Specific information for each talk along with registration to receive the zoom invite will be posted over the summer.
For a listing of UF Research Catalyst Fund Awardees who will be presenting their research, click here.
To learn more, visit https://news.ufl.edu/2020/12/artificial-intelligence-research-catalyst-fund-/.
Main UF AI webpage:https://ai.ufl.edu
Additional articles: https://news.ufl.edu/2021/04/hipergator-symposium-highlights-ai-research/