Search for tag: "machine learning"
CITP Lecture: Peter Henderson – Aligning Machine Learning, Law, and Policy for Responsible Real-World DeploymentsMachine 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…
From CI Center for Information Technology Policy
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Human-level reasoning without the need for an inhuman learning paradigm?, Nobline Yoo, UG '23 (2272767)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…
From Research Princeton Research Day
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Creating a Division 1 Pitch Grader Using Machine Learning, Alexander Dreger, UG '25 (2763371)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…
From Research Princeton Research Day
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New Opportunities with Voice Controlled Accessibility Software: Federated Machine Learning and Linux Mobile Devices, Colton Loftus, UG '23 (2264753)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…
From Research Princeton Research Day
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Do Judges Score Dives Fairly? Analyzing the Contribution of Different Phases to Scoring in Diving, Lauren Okamoto, UG (2270842)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…
From Research Princeton Research Day
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Can we outperform the S&P500 with a regime-aware approach?, Justin Ong, UG '23 (2269217)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…
From Research Princeton Research Day
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Building a Tool for Chronicling America: Flexibility and Efficiency in Digital Humanities, Nobline Yoo, UG '23 (3967151)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…
From Research Princeton Research Day
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Urban Tree Cover Monitoring: Towards Environmental Equity and Sustainability, Bhartendu Pandey, Post Doc (3963713)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…
From Research Princeton Research Day
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Making Models and Mining Mimics: Insights From Computer Vision Into How Biological Systems Solve Visual Problems, Yael Stochel, UG '22 (3965102)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…
From Research Princeton Research Day
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Local Damages from Hurricanes: Application of Machine Learning with Satellite Data, Katie Kolodner, UG '24 (3963520)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…
From Research Princeton Research Day
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Turning Rocks into Kaleidoscopes, Devdigvijay Singh, UG '24 (3959058)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…
From Research Princeton Research Day
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Targeted system optimization using inverse design, Prerit Terway, G4 (3958781)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…
From Research Princeton Research Day
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Modelling of Lead Titanate -- From Impressionism to Realism, Pinchen Xie, G4 (3935964)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…
From Research Princeton Research Day
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CITP Seminar: Amy Winecoff - Today’s Machine Learning Needs Yesterday’s Social ScienceResearch 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,…
From CI Center for Information Technology Policy
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CITP Seminar Emily Denton - Data, Power, and AI Ethics: Critiquing and Rethinking Machine Learning Data InfrastructureIn 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…
From CI Center for Information Technology Policy
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