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.
AI and Data Science (August 6 through October 31)
Thursday, September 5
- 12:00 PM
BU Health Data Science Poster Session
The goal of this event is to bring together health data science scholars, trainees, and industry leaders from various disciplines across BU and beyond. We will feature a diverse range
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Friday, September 13
- 3:00 PM
CISE/Hariri Distinguished Speaker Marc Raibert, Executive Director, AI Institute; Founder, Boston Dynamics
Making Robots Smarter in Body in Mind
Robot hardware is getting better and better, robot perception improves on almost a daily basis, and their athletic skills are advancing
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Wednesday, September 25
- 1:00 PM
Chen Sun, Assistant Professor, Brown University
Talk Title : Rethinking Video Representation Learning for Perception and Reasoning in the Era of LLMs
Abstract: What makes good representations for video understanding, such as inferring the
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Wednesday, October 2
- 1:00 PM
AIR Distinguished Speaker Dr. Huaizu Jiang
Speaker: Dr. Huaizu Jiang
Talk Title: “Generating and Populating 3D Indoor Scenes”
Abstract: Our lab’s research aims to advance immersive 3D experiences by developing
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Thursday, October 3
- 12:00 PM
Health Data Science Distinguished Speaker Series: Dr. Anita Raj, Tulane University
Speaker: Dr. Anita Raj, Tulane University
Talk Title: “Application of machine learning with a novel qualitative variable coding technique to understand predictors of gender equity outcomes
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Wednesday, October 16
- 1:00 PM
AIR Initiative AI Seminar: Equivariant Learning for Robotic Manipulation
Talk abstract: Despite recent advances in machine learning for robotics, current approaches often lack sample efficiency, posing a significant challenge due to the enormous time consumption to collect
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Wednesday, October 30
- 8:00 AM
AI for Drug Discovery Open Innovation Forum
Overview: Safe and responsible AI needs to be developed in the open. The objective of this forum is to establish a world-class open research community to drive the development, evaluation,
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