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Machine learning (ML) is being deployed to a vast array of real-world
applications with profound impacts on society. ML can have positive
impacts, such as aiding in the discovery of new cures for…
Date
April 18th, 2023 Speaker
Peter Henderson Department
Center for Information Technology Policy Location
CS105
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Two-dimensional human pose estimation is a challenging task, where the goal is to localize key anatomical landmarks (e.g. elbows, knees, shoulders), given an image of a person in some pose. Current…
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May 4th, 2023 Speaker
Nobline Yoo, UG '23 (2272767) Department
Computer Science
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In baseball, the goal of the pitcher is to prevent runs. To do so, they must make it difficult for the batter to hit the ball. There are a variety of techniques and methods the pitcher can use to…
Date
May 4th, 2023 Speaker
Alexander Dreger, UG '25 Department
Council on Science and Technology
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For individuals with health limitations, machine learning provides a powerful way to create more useful accessibility software. Voice controlled accessibility software is one such example that allows…
Date
May 3rd, 2023 Speaker
Colton Loftus, UG '23 Department
Computer Science
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Judging in diving is supposed to be as objective as possible and fairly account for all phases of a dive: start, take-off, flight, and entry. However, in practice, it is a commonly held belief among…
Date
May 3rd, 2023 Speaker
Lauren Okamoto, UG Department
Computer Science
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As Mark Twain once said, ”History doesn’t repeat itself, but it does rhyme.” Despite growing at around 9% on average since 1900, the SP500 index has gone through many cycles. In…
Date
May 3rd, 2023 Speaker
Justin Ong, UG '23 (2269217) Department
Operations Research and Financial Engineering
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Digital humanities is at the interface between humanistic studies and computational power. Hence, when building tools in this space, we need to consider, firstly, the humanities scholar who desires…
Date
April 27th, 2022 Speaker
Nobline Yoo Department
Computer Science
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Urban tree cover is important for human health, wellbeing, and environmental sustainability. However, we have a limited understanding of tree cover distributions and dynamics, and their social and…
Date
April 27th, 2022 Speaker
Bhartendu Pandey Department
Civil and Environmental Engineering
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Heliconius butterflies, a genus of butterfly that lives in South America, exhibit Mullerian mimicry, a type of mimicry in which toxic unrelated species evolve to share warning signals to teach and…
Date
April 27th, 2022 Speaker
Yael Stochel Department
Computer Science, Environmental Studies
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Though hurricanes are some of the most destructive natural disasters, with the frequency of intense and damaging hurricanes increasing due to climate change, current estimates of damages from…
Date
April 27th, 2022 Speaker
Katie Kolodner Department
Operations Research and Financial Engineering
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Accurately assessing the shape, size, and modality of features in rock samples is a longstanding problem in geology. Recent advances in machine learning have made it possible to improve upon point…
Date
April 27th, 2022 Speaker
Devdigvijay Singh Department
Geosciences
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Most systems have multiple objectives and constraints. For example, a company making a smartphone needs to increase the battery life, minimize the lag, and maximize the bandwidth. Solutions to these…
Date
April 27th, 2022 Speaker
Prerit Terway Department
Electrical and Computer Engineering
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We modelled the material lead titanate based on the underlying quantum mechanics of our world with the help of machine learning. Our approach depicted the lead titanate with accurate details like a…
Date
April 27th, 2022 Speaker
Pinchen Xie Department
Applied and Computational Mathematics
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Research on machine learning (ML) algorithms, as well as on their
ethical impacts, has focused largely on mathematical or computational
questions. However, for algorithmic systems to be useful,…
Date
April 19th, 2022 Speaker
Amy Winecoff Department
Center for Information Technology Policy Location
Virtual
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In response to growing concerns of bias, discrimination, and
unfairness perpetuated by algorithmic systems, the datasets used to
train and evaluate machine learning models have come under…
Date
April 5th, 2022 Speaker
Emily Denton Department
Center for Information Technology Policy Location
Virtual
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This course is primarily intended for non-computer science students who want to understand the foundations of building and testing an ML pipeline, different model types, important considerations in…
Date
January 21st, 2022 Speaker
Savannah Thais Department
PICSciE/Research Computing
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