Search for tag: "computer"
ReMatch+ Intern - Anna CalveriInfinite Articulated Objects for Robotics using Procedural Generation Advised by: Jia Deng, COS Alexander Raistrick, COS
From our Undergraduate Research
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OURSIP Intern - Anha KhanInvestigating Large Language Model Efficacy and Bias in Introductory Computer Science Education Advised by: Dr. Sebastian Caldas, Department of Computer Science
From our Undergraduate Research
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OURSIP Intern - Pranav MathurControl of Neutral Atom Quantum Computer Using an RFSoC FPGA Advised by:Jeff Thompson, ECE
From our Undergraduate Research
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OURSIP Intern - Nicole TacconiFeedforward Uncertainty Visualizations Advised by:Professor Abtahi COS
From our Undergraduate Research
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OURSIP Intern - Rayyan NasserDesigning Flexible Mesh Electronics for Interfacing With Cyborg Cardiac Tissue Advised by:Tian-Ming Fu, Electrical and Computer Engineering
From our Undergraduate Research
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Harmonizing Sound and Light: MIDI-Enabled LED Visualization System, Kalu James Christopher Obasi, UG '25 (704C3684)This report presents an innovative approach to music visualization, focusing on creating an interactive electronic system that provides users with a multi-sensory music-making experience. The system…
From Research Princeton Research Day
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Controlled in situ Assembly of Biocompatible Polymers, Sanjana Venkatesh, UG '26 (2D0A2083)What happens when we infuse cells and biological tissues with human-made materials? The possibilities are endless; we open up a new world for interacting with our cells, from measuring minuscule…
From Research Princeton Research Day
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Analyzing How Neural Networks Manipulate the Shape of Data, Reuel Williams, UG '24 (9C22A282)Understanding the mathematical shape of data that neural networks learn from can provide valuable insights into their inner workings. In my senior thesis, I delve into this concept using a…
From Research Princeton Research Day
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Inverse Neural Rendering for Explainable Multi-Object Tracking, Tanushree Banerjee, UG '24 (611179F4)Today, most methods for image understanding tasks rely on feed-forward neural networks. While this approach has allowed for empirical accuracy, efficiency, and task adaptation via fine-tuning, it…
From Research Princeton Research Day
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Textual and Critical Analysis of a Video Game Series Through Interactive Data Visualization, Tri Giao Vu Dinh, UG '24 (DD456A5A)In this project, I combine quantitative, statistical, and algorithmic methods from different disciplines of study to perform critical analysis on the in-game textual content of the Fire Emblem video…
From Research Princeton Research Day
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