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Fall 2024 Evnin Lecture with Hideo MabuchiWe are pleased to share the Fall 2024 Anthony B. Evnin Lecture with Hideo Mabuchi, a 1992 Princeton Alumnus and Professor of Applied Physics at Stanford University. A physicist by training, Dr.…
From Princeton Council on Science and Technology
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Zhong, Ellen - "Machine Learning for Structural Biology"AI for Accelerating Invention, a new Princeton AI Lab initiative, integrates artificial intelligence into engineering research, developing new technologies and tools to accelerate the process of…
From Broadcast Broadcast Center Staff
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ReMatch+ Intern - Michel LiaoThrough Glasses: A Multi-Layer Transparent Segmentation Network Advised by: Jia Deng, Computer Science Erich Liang, Computer Science
From our Undergraduate Research
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ReMatch+ Intern - Haley ChampionValidating Next-Generation Magnetoencephalography (MEG) With a Working Memory Task Advised by:Jonathan Cohen, Neuroscience Department Harrison Ritz
From our Undergraduate Research
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Generating Stylized Comic Art With Stable Diffusion, Audrey Zhang, UG '25 (7A3C3CD0)Stable Diffusion (SD) and other AI diffusion models can generate images in seconds. These models, however, are trained on millions of images, and sometimes not all are taken with consent. This is…
From Research Princeton Research Day
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Reconstructing Sea Surface Temperature Fields with Denoising Diffusion Probabilistic Models, Charlotte Merchant, UG '24 (E63EAA31)Estimates of sea surface temperature (SST) variability are crucial for examining changes in the El Niño–Southern Oscillation, evaluating connections between climate variability and…
From Research Princeton Research Day
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Is it an Animal?: Reconstructing Ancient Fossils with Machine Learning, Advik Eswaran, UG '27 (7B7798F6)My research project was on generating a 3D reconstruction of ancient fossils (565 million years old) from Siberia. Working with over 2000 cross-sectional images of the fossil sample, which is encased…
From Research Princeton Research Day
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Envisioning Automated Glaucoma Screening: Domain Generalization for Deep Learning-Based Glaucoma Classification, Hannah Ulman, UG '24 (B7A45C16)Rapid advancements in deep learning algorithms for computer vision tasks have produced powerful models that can accurately classify diseases from medical images across a variety of specialties. In…
From Research Princeton Research Day
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