Calendar
View the calendar below to explore all upcoming events sponsored by the Institute and its affiliate centers and initiatives. Browse events by date, or select an event topic to narrow your search.
View past events on our YouTube channel here.
Seminars (April 12 through June 30)
Friday, April 12
- 3:00 PM
Joint Seminar BME/CISE/Hariri: Jeremias Sulam, Johns Hopkins University
Imaging, Data, and Learning: Modern challenges in Biomedical Data Science
Modern machine learning methods are revolutionizing biomedical imaging and data science. We can now image and reconstruct,
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Friday, April 26
- 3:00 PM
Distinguished Hariri Institute/CISE Seminar: Asu Ozdaglar, Massachusetts Institute of Technology
Independent Learning Dynamics for Stochastic Games: Convergence and Finite-Time Analysis
Reinforcement learning (RL) has had tremendous successes in many artificial intelligence applications.
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Thursday, May 2
- 3:00 PM
Distinguished Hariri Institute/CISE Seminar: Andrew A. Chien, University of Chicago
How Can We Decarbonize the Power Grid and Meet AI’s Exploding Power Demands?
AI and Cloud computing is growing rapidly and projected to increase US electric power consumption
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Friday, May 3
- 2:00 PM
Machine Learning in Medicine (MLxMed) Seminar: Jiang Bian, Professor, University of Florida
Speaker: Jiang Bian, Professor And Division Director Of Biomedical Informatics, UF; Chief Data Scientist & Chief Research Information Officer, UF Health
Talk title: TBA
Talk
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Wednesday, May 15
- 12:00 PM
CANCELLED: Health Data Science Distinguished Speaker Series: Dr. David Donoho, Stanford University
Talk Title: “Data Science: The Next 50 Years”
Abstract: Over the last 10 years, Data Science and Data Engineering have exploded in size and global significance. These are now highly
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Friday, May 17
- 2:30 PM
Machine Learning in Medicine (MLxMed) Seminar: Akshay Chaudhari, Assistant Professor, Stanford University
Speaker: Akshay Chaudhari, Assistant Professor (Research) of Radiology (Integrative Biomedical Imaging Informatics at Stanford) and, by courtesy, of Biomedical Data Science, Stanford University
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