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92 Media

07:36 Andrzej Zuranski: DataX Cataysis Data Scientist Andrzej Zuranski: DataX Cataysis Data Scientist	Andrzej Zuranski: DataX Cataysis Data Scientist data x lab database students learning machine molecules scope reaction analysis problems science journal article reactions chemistry industry experiments pipeline fellowship calculations From Broadcast Broadcast Center Staff 0 likes 3 plays Date June 8th, 2022 Speaker Andrzej Zuranski
53:30 Service-Learning Projects in Business & Legal… Service-Learning Projects in Business & Legal Spanish	Service-Learning Projects in Business & Legal Spanish This session will present some examples of projects that engaged our students with the Hispanic community for the Business & Legal Spanish course. The goal of this presentation is to show how we… translation vocabulary language for specific purposes business service learning professionalization hispanic community legal spanish chamber of commerce refugees register assessment From PC Princeton Center for Language Study 0 likes 7 plays Date March 10th, 2020 Speaker Anna Alsina Naudí Department Department of Spanish and Portuguese Location 011 East Pyne
03:37 Pranay Anchuri: DataX Information Technology… Pranay Anchuri: DataX Information Technology Policy Data Scientist	Pranay Anchuri: DataX Information Technology Policy Data Scientist outcomes machine projects princeton networks science blockchain sociology chemists platform trajectories scientists predictability researchers domains models scale phd learning focus From Broadcast Broadcast Center Staff 0 likes 9 plays
07:54 Jose Garrrido Torres: DataX Catalysis Data… Jose Garrrido Torres: DataX Catalysis Data Scientists	Jose Garrrido Torres: DataX Catalysis Data Scientists machine algorithm laboratory reactions tools chemistry manner science platform experimentalist experiments tags platforms machines samples models algorithms learning possibility instance From Broadcast Broadcast Center Staff 0 likes 25 plays
01:31:52 4.22.2022 Glee Club 4.22.2022 Glee Club	4.22.2022 Glee Club certificates studies performance tonight class science singing console pieces engineering learning machine certificate theater history affairs mathematics statistics computer major From Broadcast Broadcast Center Staff 0 likes 31 plays
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
03:05 How Nature’s Tiniest Soda Could Help Feed… How Nature’s Tiniest Soda Could Help Feed the World: The Story of the Algal Pyrenoid, Eric Franklin, G4 (3965535)	How Nature’s Tiniest Soda Could Help Feed the World: The Story of the Algal Pyrenoid, Eric Franklin, G4 (3965535) Plants are responsible for almost everything around us. Not just as crops for us or livestock to eat, but also for the wood that makes up our houses and furniture, the cotton that we wear as clothes,… reinforcement learning generalization interpretability neural network tubules co2 algae 3d plants proteins soda sugar membranes crop nature reconstructions difference rest middle matrix fertilizer water yields food From Research Princeton Research Day 6 likes 119 plays Date April 27th, 2022 Speaker Eric Franklin Department Molecular Biology
03:00 Using a Theory of Human Cognition to Improve… Using a Theory of Human Cognition to Improve Computer Agents, Albert Lin, UG '23 (3965329)	Using a Theory of Human Cognition to Improve Computer Agents, Albert Lin, UG '23 (3965329) Current reinforcement learning (RL) models still have difficulty generalizing to novel, but related, tasks. They are also often composed of deep neural networks which carry out computations that do… reinforcement learning generalization interpretability neural network model computer humans game baseline theory control attention levels models visualizations experiments network approach training decisions cognition initializations fruits From Research Princeton Research Day 3 likes 37 plays Date April 27th, 2022 Speaker Albert Lin 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 33 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 28 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 57 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
03:33 Musical Experience/Experiment through Making a… Musical Experience/Experiment through Making a Harpsichord, Joyce Wei-Jo Chen, G4 (3954632)	Musical Experience/Experiment through Making a Harpsichord, Joyce Wei-Jo Chen, G4 (3954632) My dissertation, Musica Experientia/Experimentum, explores the intersection between acoustics, aesthetics, and artisanal knowledge (involved in musical instruments) in the seventeenth century. What… musical interpretations musical instruments musica experientia/experimentum bipoc interdisciplinary humanities acoustics aesthetics artisanal knowledge sound production zuckermann harpsichord international coveted apprenticeship steep learning curve sensory nuances vibrating modes acoustical principles strung optimal plucking point chalk paint glass bead gel raised stencil effect ombre color instrument harpsichord instruments furniture effect industry interpretations sound understanding dissertation core performers scholars kind pencil gel glasgow color From Research Princeton Research Day 7 likes 95 plays Date April 27th, 2022 Speaker Joyce Wei-Jo Chen Department Music
03:14 Deploying Deep Learning to Estimate the Abundance… Deploying Deep Learning to Estimate the Abundance of Marine Debris from Video Footage, Cathy Teng, UG '22, (3938143)	Deploying Deep Learning to Estimate the Abundance of Marine Debris from Video Footage, Cathy Teng, UG '22, (3938143) The insatiable desire for plastic goods in modern society has led to the omnipresence of synthetic materials in the marine environment. In attempting to address the problem of plastic pollution, we… deep learning yolo yolov5 bounding box centroid #prd22 From Research Princeton Research Day 3 likes 121 plays Date April 27th, 2022 Speaker Cathy Teng, UG '22 Department Computer Science
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