Search for tag: "machine learning"

22 Media

03:16 Building a Tool for Chronicling America:… Building a Tool for Chronicling America: Flexibility and Efficiency in Digital Humanities, Nobline Yoo, UG '23 (3967151)	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… digital humanities machine learning statistics density tool word america framework representations plot dispersion tools flexibility humanities words colab efficiency adoption 1800s 1700s vector occurrence output From Research Princeton Research Day 0 likes 21 plays Date April 27th, 2022 Speaker Nobline Yoo Department Computer Science
02:35 Urban Tree Cover Monitoring: Towards… Urban Tree Cover Monitoring: Towards Environmental Equity and Sustainability, Bhartendu Pandey, Post Doc (3963713)	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… satellite remote sensing spectral resolution spatial resolution image fusion machine learning #prd22 tree cover distributions inequality machine implications levels resolution dynamics datasets point satellite distribution cities attention land promise income parameters inequalities From Research Princeton Research Day 1 likes 34 plays Date April 27th, 2022 Speaker Bhartendu Pandey Department Civil and Environmental Engineering
03:09 Making Models and Mining Mimics: Insights From… Making Models and Mining Mimics: Insights From Computer Vision Into How Biological Systems Solve Visual Problems, Yael Stochel, UG '22 (3965102)	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… mullerian mimicry machine learning images model species mimicry butterfly butterflies color erato birds subspecies mimics classification accuracy heliconius acuity similarity difference training learning machine From Research Princeton Research Day 0 likes 27 plays Date April 27th, 2022 Speaker Yael Stochel Department Computer Science, Environmental Studies
02:58 Local Damages from Hurricanes: Application of… Local Damages from Hurricanes: Application of Machine Learning with Satellite Data, Katie Kolodner, UG '24 (3963520)	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… machine learning satellite imagery hurricanes building damage arcgis pro damage result buildings imagery experimentation prediction building hurricane localization target pre max disaster representation polygons models model image network From Research Princeton Research Day 1 likes 29 plays Date April 27th, 2022 Speaker Katie Kolodner Department Operations Research and Financial Engineering
03:00 Turning Rocks into Kaleidoscopes, Devdigvijay… Turning Rocks into Kaleidoscopes, Devdigvijay Singh, UG '24 (3959058)	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… machine learning classification crystals fossils bedforms polarizers cross-polarized plane-polarized light samples contrast sample rotation image images cross classes learning machine methods rock orientation distribution volcano granite techniques climate From Research Princeton Research Day 6 likes 59 plays Date April 27th, 2022 Speaker Devdigvijay Singh Department Geosciences
03:00 Targeted system optimization using inverse… Targeted system optimization using inverse design, Prerit Terway, G4 (3958781)	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… artificial intelligence machine learning active learning optimization step objectives process specifications methods specification response input solution solutions object method listening importance request gpus repair systems nuisance From Research Princeton Research Day 0 likes 29 plays Date April 27th, 2022 Speaker Prerit Terway Department Electrical and Computer Engineering
03:22 Modelling of Lead Titanate -- From Impressionism… Modelling of Lead Titanate -- From Impressionism to Realism, Pinchen Xie, G4 (3935964)	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… material science machine learning #prd22 material atoms titanate modeling lead theory mechanics quantity landau quantum equation impression lab property computer defects condition curve fact lies From Research Princeton Research Day 1 likes 11 plays Date April 27th, 2022 Speaker Pinchen Xie Department Applied and Computational Mathematics
51:26 CITP Seminar: Amy Winecoff - Today’s… CITP Seminar: Amy Winecoff - Today’s Machine Learning Needs Yesterday’s Social Science	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,… machine learning algorithms ethics social science technology systems simulation lot entrepreneurs psychology similarity study ai simulations studies things machine experiments ways types cases users science agents From CI Center for Information Technology Policy 0 likes 17 plays Date April 19th, 2022 Speaker Amy Winecoff Department Center for Information Technology Policy Location Virtual
49:05 CITP Seminar Emily Denton - Data, Power, and AI… CITP Seminar Emily Denton - Data, Power, and AI Ethics: Critiquing and Rethinking Machine Learning Data Infrastructure	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… bias discrimination artificial intelligence data sets algorithms machine learning dataset kind machine datasets field lot benchmarks benchmark things learning task competition model tasks thing models folks imagenet problem kinds From CI Center for Information Technology Policy 0 likes 8 plays Date April 5th, 2022 Speaker Emily Denton Department Center for Information Technology Policy Location Virtual
01:50:29 Intro to Machine Learning, Part 4 of 4 Intro to Machine Learning, Part 4 of 4	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… picscie research computing machine learning kind model lot things machine bias learning systems examples training recognition algorithm dataset questions image particle mind ways models images From Andrea Rubinstein 0 likes 5 plays Date January 21st, 2022 Speaker Savannah Thais Department PICSciE/Research Computing
01:00 ECE Department Chair Video ECE Department Chair Video	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… energy engineering career optics ai data centers computer engineering electrical engineering machine learning robotics artificial intelligence smart grid clean energy environment wireless From Scott Lyon 0 likes 79 plays Date March 21st, 2022 Speaker James Sturm Department Department of Electrical and Computer Engineering
01:00:31 CITP Seminar: Ryan Calo - Modeling Through CITP Seminar: Ryan Calo - Modeling Through	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… regulation policy artificial intelligence modeling machine learning privacy technology government things analysis kinds kind models cost systems idea model efficiency benefit tools paper lot problems question thing law From CI Center for Information Technology Policy 0 likes 18 plays Date February 15th, 2022 Speaker Ryan Calo Department Center for Information Technology Policy Location Virtual
49:43 CITP Seminar: Alex Hanna - Beyond Bias:… CITP Seminar: Alex Hanna - Beyond Bias: Algorithmic Unfairness, Infrastructure, and Genealogies of Data	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… bias artificial intelligence datasets machine learning image dataset images sets kind imagenet machine model vision computer challenge authors tasks categories learning benchmark paper infrastructure ai From CI Center for Information Technology Policy 0 likes 14 plays Date November 9th, 2021 Speaker Alex Hanna, Google
47:40 CITP Seminar- Pranay Anchuri - Insights into… CITP Seminar- Pranay Anchuri - Insights into Predictability of Life Outcomes- A Data-Driven Approach	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… machine learning algorithms data predictability statistics outcomes learning model score impact models hyperparameter tuning outcome features question pipelines variables quality step framework machine talk improvement From CI Center for Information Technology Policy 0 likes 6 plays Date October 26th, 2021 Speaker Pranya Anchuri Department Center for InformationTechnology Policy
02:59 Machine Learning-Based Cell Segmentation Enables… Machine Learning-Based Cell Segmentation Enables Spatial Single-Cell Analysis of the Tumor Immune Microenvironment, Jasper Lee, UG '21 (2308192)	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… spatial immunology cancer immunology cancer biology codex machine learning cell segmentation prd21 cell analysis cells image microenvironment tumor cementation pipeline downstream segmentation method types resolution summation machine therapy amino projects analogy fi From Research Princeton Research Day 1 likes 61 plays Speaker Jasper Lee, UG '21 Department Molecular Biology
03:00 An ultra-high spatial resolution multi-spectral… An ultra-high spatial resolution multi-spectral macro-imager for geological samples, Devdigvijay Singh, UG '24 (2263070)	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… paleoclimatology macrophotography image deconvolution machine learning computer vision prd21 images rgb techniques image wavelengths rock layer climate samples differentiation cement crack study imaging learning focus uv applications machine greenstone From Research Princeton Research Day 2 likes 146 plays Speaker Devdigvijay Singh, UG '24 Department Mechanical and Aerospace Engineering