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57:00 Princeton Robotics Seminar: "Robots that… Princeton Robotics Seminar: "Robots that Learn From and Collaborate with People" Henny Admoni Lecture	Princeton Robotics Seminar: "Robots that Learn From and Collaborate with People" Henny Admoni Lecture machine learning robotics henny admoni robot demonstration feedback demonstrations human task types agent robots space learner humans learning reward effort examples weights function hypothesis method From Broadcast Broadcast Center Staff 0 likes 7 plays Date October 20th, 2023 Speaker Henny Admoni Department Robotics Location Comp Sci 105
08:10 PLI Brandon Stewart PLI Brandon Stewart	PLI Brandon Stewart things llms models questions science tasks chat surveys accuracy text capacity kinds answers experts sort examples texts sciences arguments ability From Broadcast Broadcast Center Staff 0 likes 22 plays
01:04:11 OLTP9September2023_SRauf OLTP9September2023_SRauf	OLTP9September2023_SRauf ppplonly plasma models voltage plasmas electrons frequency modeling industry density electron field paper energy applications beam period experiments examples physics production From PPPL Admins 0 likes 17 plays
03:17 What Seems to be the Problem? Stigmatizing… What Seems to be the Problem? Stigmatizing Language in Patient Medical Notes, Abinitha Gourabathina, UG '23 (2262024)	What Seems to be the Problem? Stigmatizing Language in Patient Medical Notes, Abinitha Gourabathina, UG '23 (2262024) Stigmatizing language in medical notes can prevent a patient from acquiring proper treatment. Reading medical notes containing biased language can influence subsequent clinicians’ perception of… prd23 princeton research day undergraduate research operations research and financial engineering whitman college american experience ai artificial intelligence biological engineering data science the humanities design and engineering patient language notes stigmatizing patients model keywords editor structure grammar clinicians power doubt sentence examples care style models transformer approach From Research Princeton Research Day 0 likes 64 plays Date May 4th, 2023 Speaker Abinitha Gourabathina, UG '23 Department Operations Research and Financial Engineering
03:00 Reimagining Baseball Analytics using ChatGPT,… Reimagining Baseball Analytics using ChatGPT, Senne Michielssen, UG '25 (2771011)	Reimagining Baseball Analytics using ChatGPT, Senne Michielssen, UG '25 (2771011) Spray charts are a data visualization used in baseball to describe which area of the field hitters have historically hit the ball to. Hitters have unique hitting tendencies for various reasons (e.g.,… prd23 princeton research day undergraduate research chatbpt llm large langauge model baseball new college west council on science and technology ai artificial intelligence data science model accuracy ball field models location play teams region league ivy technique labeling pseudo examples ways scores doe john From Research Princeton Research Day 8 likes 77 plays Date May 4th, 2023 Speaker Senne Michielssen, UG '25 Department Council on Science and Technology
45:17 CITP Seminar: Elie Bou-Zeid - An Equitable… CITP Seminar: Elie Bou-Zeid - An Equitable Technological Future for Cities	CITP Seminar: Elie Bou-Zeid - An Equitable Technological Future for Cities Will artificial intelligence correct or perpetuate historic discriminatory practices in cities? Will urban heat mitigation strategies and new ecosystem amenities be deployed fairly across all… technology equity cities lot problem income neighborhoods systems population citizens access problems neighborhood decision density examples questions ai success outcome question From CI Center for Information Technology Policy 0 likes 5 plays Date October 4th, 2022 Speaker Elie Bou-Zeid Department Center for Information Technology Policy
55:54 DataX PPPL Workshop 5-2022_Kates-Harbeck DataX PPPL Workshop 5-2022_Kates-Harbeck	DataX PPPL Workshop 5-2022_Kates-Harbeck model learning machine things plasma disruption training models problem bit performance function kind features dataset output thing networks examples field From Broadcast Broadcast Center Staff 0 likes 13 plays
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 10 plays Date January 21st, 2022 Speaker Savannah Thais Department PICSciE/Research Computing
01:01:36 Sherry Tongshuang Wu - Interactive AI Model… Sherry Tongshuang Wu - Interactive AI Model Debugging and Correction	Sherry Tongshuang Wu - Interactive AI Model Debugging and Correction Sherry Tongshuang Wu - Interactive AI Model Debugging and Correction model kind analysis users language experts models ai thing lot humans modal domain question objective examples modo things sentence cases From Broadcast Broadcast Center Staff 0 likes 131 plays Date March 22nd, 2022 Speaker Sherry Tongshuang Wu Department Computer Science Location CS 105
01:52:46 Intro to Machine Learning, Part 3 of 4 Intro to Machine Learning, Part 3 of 4	Intro to Machine Learning, Part 3 of 4 Intro to Machine Learning, Part 3 of 4 picscie research computing clusters network examples things kind clustering image space points input lake distribution dataset model learning detection cluster distance machine autoencoder From Andrea Rubinstein 0 likes 9 plays Date January 21st, 2022 Speaker Savannah Thais Department PICSciE/Research Computing
02:58:57 Intro to Machine Learning, Part 1 of 4 Intro to Machine Learning, Part 1 of 4	Intro to Machine Learning, Part 1 of 4 Intro to Machine Learning, Part 1 of 4 picscie research computing wintersession 2022 model kind machine function learning things training matrix lot decision features values loss parameters models network regression linear layer examples From Andrea Rubinstein 0 likes 44 plays Date January 18th, 2022 Speaker Savannah Thais Department PICSciE/Research Computing Location Zoom
01:56 Celebrate Princeton Innovation 2021: Adam… Celebrate Princeton Innovation 2021: Adam Finkelstein and Jiaqi Su: AI-driven cleanup of audio recordings	Celebrate Princeton Innovation 2021: Adam Finkelstein and Jiaqi Su: AI-driven cleanup of audio recordings Professor Adam Finkelstein and graduate student Jiaqi Su detail how a new method could improve the listening experience for podcasts, video voice-overs and audio books. The technology uses artificial… innovation audio editing networks audio approach computer recordings bus background science studio recording quality fact environment process training width job examples millions goal From Catherine Zandonella 0 likes 37 plays Date December 1st, 2021 Speaker Adam Finkelstein, professor of computer science, and Jiaqi Su, graduate student Department Computer Science
01:25:14 Rebellion, Rascals, and Revenue: Tax Follies and… Rebellion, Rascals, and Revenue: Tax Follies and Wisdom through the Ages - November 2, 2021	Rebellion, Rascals, and Revenue: Tax Follies and Wisdom through the Ages - November 2, 2021 Rebellion, Rascals, and Revenue: Tax Follies and Wisdom through the Ages November 2, 2021 tax taxes kind story things income taxation countries behavior windows stories history revenue idea lot british government thing picture examples From Broadcast Broadcast Center Staff 0 likes 3 plays
22:54 python_day03_02 python_day03_02	python_day03_02 PNI Bootcamp 2020 Day 3 Math/Programming plot things matplotlib thing lot gain dataframe function table grid columns sense default matlab examples exercises loss distribution linear bars From PNI PNI system administrator 0 likes 5 plays Date August 3rd, 2020 Department Princeton Neuroscience Institute
08:09 Preparing Data for Publication: Citing Data Preparing Data for Publication: Citing Data	Preparing Data for Publication: Citing Data Deeper dive into how to cite data. citation style reproducibility publication title components repository benefits impact series talks week identifier publisher edition creator guides resource examples individuals From PU Princeton University Library 0 likes 13 plays Date May 14th, 2020 Department Princeton Research Data Service
16:46 How to Prepare Data for Publication: An Overview How to Prepare Data for Publication: An Overview	How to Prepare Data for Publication: An Overview An overview of how to get your data ready to be published, starting with organization to choose the best repository. repository repositories formats citation files discipline level format field metadata identifier thing examples princeton documentation text standards reuse output publication From PU Princeton University Library 0 likes 27 plays Date May 11th, 2020 Department Princeton Research Data Service