Search for tag: "machine learning"

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 0 likes 21 plays

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 1 likes 34 plays

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 0 likes 27 plays

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 1 likes 29 plays

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 6 likes 59 plays

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 0 likes 29 plays

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 1 likes 11 plays

CITP Seminar: Amy Winecoff - Today’s Machine Learning Needs Yesterday’s Social Science

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,…

From  CI Center for Information Technology Policy 0 likes 17 plays

CITP Seminar Emily Denton - Data, Power, and AI Ethics: Critiquing and Rethinking Machine Learning Data Infrastructure

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 increased…

From  CI Center for Information Technology Policy 0 likes 8 plays

Intro to Machine Learning, Part 4 of 4

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…

From  Andrea Rubinstein 0 likes 5 plays

ECE Department Chair Video

Professor James Sturm, chair of the Department of Electrical and Computer Engineering, welcomes prospective members of the ECE community and provides a brief overview of activity across the…

From  Scott Lyon 0 likes 79 plays

CITP Seminar: Ryan Calo - Modeling Through

Theorists of justice have long imagined a decision-maker capable of acting wisely in every circumstance. Policymakers seldom live up to this ideal. They face well-understood limits, including an…

From  CI Center for Information Technology Policy 0 likes 18 plays

CITP Seminar: Alex Hanna - Beyond Bias: Algorithmic Unfairness, Infrastructure, and Genealogies of Data

Problems of algorithmic bias are often framed in terms of lack of representative data or formal fairness optimization constraints to be applied to automated decision-making systems. However, these…

From  CI Center for Information Technology Policy 0 likes 14 plays

CITP Seminar- Pranay Anchuri - Insights into Predictability of Life Outcomes- A Data-Driven Approach

Predicting life outcomes is a challenging task even for advanced machine learning (ML) algorithms. At the same time, accurately predicting these outcomes has important implications in providing…

From  CI Center for Information Technology Policy 0 likes 6 plays

Machine Learning-Based Cell Segmentation Enables Spatial Single-Cell Analysis of the Tumor Immune Microenvironment, Jasper Lee, UG '21 (2308192)

The tumor microenvironment contains a complex collection of immune cells which can infiltrate cancer tissues to varying degrees. Studies into tumor immune cell populations are highly clinically…

From  Research Princeton Research Day 1 likes 61 plays

An ultra-high spatial resolution multi-spectral macro-imager for geological samples, Devdigvijay Singh, UG '24 (2263070)

Feature detection in optical imagery relies on color and textural differences between objects of interest and their surroundings. For fifty years, satellite remote sensing has leveraged multispectral…

From  Research Princeton Research Day 2 likes 146 plays