Search for tag: "accuracy"

Quasiclassical Trajectory Calculations of Rate Constants Using an Ab-initio Trained Machine Learning Force Field (aML-MD), Zhiyu Shi, GS (7ACD870A)

Machine learning (ML) provides a great opportunity for the construction of models with improved accuracy for classical molecular dynamics (MD). However, the accuracy of a machine learning trained…

From  Research Princeton Research Day 1 likes 26 plays

PLI Brandon Stewart

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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…

From  Research Princeton Research Day 0 likes 109 plays

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,…

From  Research Princeton Research Day 0 likes 92 plays

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…

From  Research Princeton Research Day 0 likes 29 plays

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.,…

From  Research Princeton Research Day 8 likes 94 plays

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…

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ReMatch Intern - Shruti Roy

Modeling North Atlantic Phytoplankton Blooms Mentors: Prof. Laure Resplandy, Geosciences Dr. Jessica Garwood, Geosciences

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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…

From  University University Health Services 0 likes 1,204 plays

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…

From  Research Princeton Research Day 1 likes 174 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 76 plays

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…

From  Research Princeton Research Day 1 likes 72 plays

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…

From  Research Princeton Research Day 4 likes 131 plays

SOS_16Jan2021_ANarayanan

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OURSIP intern - Aditi Singh

Summer Research Colloquium Research Summary - Data augmentations for compositional representations in a recurrent neural network

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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…

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