Designing Data Visualization and Crowdsourcing Systems in Community-based Citizen Science
Event Location: GHC 4405Abstract: Citizen science forges partnerships between experts and citizens through collaboration and has become a trend in public participation in scientific research over the past decade. While public participation has been applied to science education, researchers recently noticed that this strategy can contribute to participatory democracy, which empowers citizens to advocate for [...]
Machine Learning For Modeling Real-World Dynamical Systems
Event Location: NSH 3305Bio: Byron Boots is an Assistant Professor in the School of Interactive Computing and the College of Computing at Georgia Tech. He directs the Georgia Tech Robot Learning Lab, which is affiliated with the Center for Machine Learning, the Institute for Data Engineering and Science, and the Institute for Robotics and Intelligent [...]
Discovering and Leveraging Visual Structure for Large-scale Recognition
Event Location: GHC 4405Abstract: Visual Recognition has seen tremendous advances in the last decade. This progress is primarily due to learning algorithms trained with two key ingredients: large amounts of data and extensive supervision. While acquiring visual data is cheap, getting it labeled is far more expensive. So how do we enable learning algorithms to [...]
The Next Frontier in AI: Unsupervised Learning
Event Location: McConomy Auditorium, CUCBio: Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer [...]
Reasoning About Our Visual World
Event Location: Newell Simon Hall 1507Bio: C. Lawrence Zitnick is a research manager at Facebook AI Research, and an affiliate associate professor at the University of Washington. He is interested in a broad range of topics related to artificial intelligence including object recognition, the relation of language and imagery, and methods for gathering common sense [...]
Fine-Scale Structure Design for 3D Printing
Event Location: Newell Simon Hall 1507Bio: Julian Panetta is a PhD candidate at NYU's Courant Institute, where he is advised by Denis Zorin. Julian is interested in simulation and optimal designproblems, specifically focusing on applications for 3D printing. Before joining NYU, he received his BS in computer science from Caltech and did research at NASA's [...]
Calibration and Characterization of Low-Cost Fine Particulate Monitors and their Effect on Individual Empowerment
Event Location: GHC 8102Abstract: Air quality has long been a major health concern for citizens around the world, and increased levels of exposure to fine particulate matter (PM2.5) has been definitively linked to serious health effects such as cardiovascular disease, respiratory illness, and increased mortality. PM2.5 is one of six attainment criteria pollutants used by [...]