Search for tag: "accuracy"

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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 24 plays
03:11 Analyzing the underlying mechanisms of… Analyzing the underlying mechanisms of cross-platform validity for Natural Language Processing-based predictive models that identify mental disorders in social media users, Yubi Mamiya, UG '26 (3995017)	Analyzing the underlying mechanisms of cross-platform validity for Natural Language Processing-based predictive models that identify mental disorders in social media users, Yubi Mamiya, UG '26 (3995017) Recent, dramatic increases in life-threatening self-harm and hospitalizations of young people due to mental disorders has motivated efforts to preemptively identify suffering individuals and connect… prd23 princeton research day undergraduate research forbes college computer science ai artificial intelligence natural language processing mental health social media data science design and engineering platforms media processing language form twitter differences text disorders users accuracy texts model reddit issues activity models intelligence interventions From Research Princeton Research Day 0 likes 83 plays Date May 5th, 2023 Speaker Yubi Mamiya, UG '26 Department Computer Science
03:19 Robotic Swarm Inspection for Infrastructure… Robotic Swarm Inspection for Infrastructure Monitoring, Darren Chiu, UG '23 (2265354)	Robotic Swarm Inspection for Infrastructure Monitoring, Darren Chiu, UG '23 (2265354) Robotic swarm inspection for structures offers a flexible, scalable, and cost-effective solution in comparison to human inspection such as the benefit of being resilient to individual failures,… prd23 princeton research day undergraduate research new college new college west electrical engineering robot ai artificial intelligence energy and the environment design and engineering swarm decision robots fitness simulation inspections space swarms parameters simulations vibration surfaces safety structures approach surface values accuracy optimization From Research Princeton Research Day 0 likes 75 plays Date May 4th, 2023 Speaker Darren Chiu, UG '23 Department Electrical Engineering
02:56 The Development of a Convolutional Neural Network… The Development of a Convolutional Neural Network for the Classification of Drum Sounds, Louis Larsen, UG (2270432)	The Development of a Convolutional Neural Network for the Classification of Drum Sounds, Louis Larsen, UG (2270432) Music is a universal language, and people can easily decipher between many different types of instruments. While recent developments in machine learning have allowed computers to distinguish between… artificial intelligence (ai) creativity and the arts drum cnn spectrograms samples mel filters instruments classifications cases accuracy kick frequencies axis spectrogram image features presentation feedback suggestions provide From Research Princeton Research Day 0 likes 27 plays Date May 4th, 2023 Speaker Louis Larsen, UG (2270432) Department Computer Science
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
01:02:53 CITP Lecture: "The Societal Impact of… CITP Lecture: "The Societal Impact of Foundation Models"	CITP Lecture: "The Societal Impact of Foundation Models" Foundation models (ChatGPT, StableDiffusion) are transforming society: remarkable capabilities, serious risks, rampant deployment, unprecedented adoption, overflowing funding, and unending… rishi bommasani citp foundation models a.i. & ethics models model things lot thing ai sort foundation transparency cases point algorithm accuracy ecosystem fairness decisions space candidates companies impact From Broadcast Broadcast Center Staff 0 likes 38 plays Date May 2nd, 2023 Speaker Rishi Bommasani Department CITP Location Comp Sci 105
03:04 ReMatch Intern - Shruti Roy ReMatch Intern - Shruti Roy	ReMatch Intern - Shruti Roy Modeling North Atlantic Phytoplankton Blooms Mentors: Prof. Laure Resplandy, Geosciences Dr. Jessica Garwood, Geosciences phytoplankton ocean model winds nutrients productivity edge trade water carbon experiment wall models north wind percent accuracy reduction chlorophyll dynamics From our Undergraduate Research 0 likes 47 plays Date July 25th, 2022 Speaker Shruti Roy Department Office of Undergraduate Research
02:36 MyUHS - Uploading Documentation MyUHS - Uploading Documentation	MyUHS - Uploading Documentation This video reviews the process to upload documentation that supports health history, including records from other medical providers, proof of immunizations, and past test results, into a… university health services tutorial immunization documentation documents uhs team compliance gifs files types record document insurance records tab upload menu toolbar immunizations provider accuracy From University University Health Services 0 likes 1,110 plays
03:02 Solving Sudoku Puzzles with Recurrent Neural… Solving Sudoku Puzzles with Recurrent Neural Networks, Richard Zhu, UG '23 (3967706)	Solving Sudoku Puzzles with Recurrent Neural Networks, Richard Zhu, UG '23 (3967706) Recent advancements in machine learning have allowed for near-human or even superhuman performance in applications spanning chess-playing, protein folding, and natural language generation. Sudoku, a… recurrent neural network puzzle methods network 3d values sudoku cells term model lstm respect problem column networks question relation recursion future months accuracy From Research Princeton Research Day 1 likes 146 plays Date April 27th, 2022 Speaker Richard Zhu Department Mechanical and Aerospace 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 71 plays Date April 27th, 2022 Speaker Yael Stochel Department Computer Science, Environmental Studies
03:00 The Old Bailey, U.S. Reports, and OCR:… The Old Bailey, U.S. Reports, and OCR: Benchmarking AWS, Azure, and GCP on 360,000 Page Images, William Ughetta, UG '21 (2304637)	The Old Bailey, U.S. Reports, and OCR: Benchmarking AWS, Azure, and GCP on 360,000 Page Images, William Ughetta, UG '21 (2304637) Court records spanning the entire eighteenth and nineteenth centuries present a compelling benchmark for leading Optical Character Recognition (OCR) cloud providers on historical documents. The… prd21 bailey character array dataset images reference ocr transcriptions scale reports texts records azure aws presentation provider cell accuracy thirds iron From Research Princeton Research Day 1 likes 68 plays Speaker William Ughetta, UG '21 Department Computer Science
03:32 StressDeep: Stress Detection Using Wearable… StressDeep: Stress Detection Using Wearable Medical Sensors and Efficient Neural Networks, Anu Vellore, UG '22 (2250003)	StressDeep: Stress Detection Using Wearable Medical Sensors and Efficient Neural Networks, Anu Vellore, UG '22 (2250003) Chronic stress poses serious harm to both physical and mental health. It is a risk factor for hypertension and coronary artery disease, as well as other health problems including gastroesophageal… deep neural network wearable medical sensors synthetic data generation gaussian mixture model kernel density estimation electrocardiogram galvanic skin response respiration rate blood pressure blood oximeter prd21 stress dataset sensors accuracy wmss generation signals performance network instances pre tool training model framework machine blood advancements department From Research Princeton Research Day 4 likes 128 plays Speaker Anu Vellore, UG '22 Department Operations Research and Financial Engineering
01:36:54 SOS_16Jan2021_ANarayanan SOS_16Jan2021_ANarayanan	SOS_16Jan2021_ANarayanan machine ai systems question learning algorithms things outcomes companies future technologies thing bit risk types fact questions talk accuracy lot From PPPL Admins 0 likes 1,049 plays
04:52 OURSIP intern - Aditi Singh OURSIP intern - Aditi Singh	OURSIP intern - Aditi Singh Summer Research Colloquium Research Summary - Data augmentations for compositional representations in a recurrent neural network network word sentence representations vectors words datasets input networks embeddings sentences meaning context ability summer generalizability accuracy relationship literature computer From our Undergraduate Research 0 likes 32 plays Date July 30th, 2020 Speaker Aditi Singh Department The Office of Undergraduate Research
05:29 Early-life autism spectrum disorder diagnosis… Early-life autism spectrum disorder diagnosis with nonlinear EEG analysis using machine learning methods	Early-life autism spectrum disorder diagnosis with nonlinear EEG analysis using machine learning methods With the increased prevalence of autism spectrum disorder (ASD) comes the challenge of identifying children at risk for ASD as early in life as possible so that they can benefit from early… prd20 autism risk infants diagnosis generalizability metrics classification study accuracy machine measures eeg language prediction sensitivity predictions evaluation features participants activity From Research Princeton Research Day 0 likes 87 plays Date April 29th, 2020 Speaker Fleming Peck '20 Department Neuroscience
44:20 GSS_14Aug2018_AMathews GSS_14Aug2018_AMathews	GSS_14Aug2018_AMathews captions_12_17_2020 modes mode confinement density lot features methods bit accuracy shots power kind classifiers beta class energy machine regression database probability From PPPL Admins 0 likes 27 plays