prof Gordon Wetzstein
A leap toward lighter, sleeker mixed reality displays

Using 3D holograms polished by artificial intelligence, researchers introduce a lean, eyeglass-like 3D headset that they say is a significant step toward passing the “Visual Turing Test.”

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prof Gordon Wetzstein
Synthetic aperture waveguide holography for compact mixed-reality displays with large étendue

Research Article: Gordon Wetzstein, et al. 28 July 2025. https://doi.org/10.1038/s41566-025-01718-w

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prof Gordon Wetzstein
Scalable 3D reconstruction for X-ray single particle imaging with online machine learning

Research Article: Gordon Wetzstein, et al. nature.com, 24 July 2025. https://doi.org/10.1038/s41467-025-62226-7

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prof Olav Solgaard
Olav Solgaard and team receive grant from Big Ideas for Oceans program

Their project is 'Timestamping seawater to improve climate modeling.'

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profs Caroline Trippel and Thierry Tambe
Thierry Tambe and Caroline Trippel receive the Google ML and Systems Junior Faculty Award

The inaugural award recognizes faculty who are leading the analysis, design and implementation of efficient, scalable, secure and trustworthy computing systems.

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prof Srabanti Chowdhury
Negative capacitance overcomes Schottky-gate limits in GaN high-electron-mobility transistors

Research Article: Srabanti Chowdhury, et al. science.org, 10 July 2025. https://doi.org/10.1126/science.adx6955.

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prof Chelsea Finn
SRT-H: A hierarchical framework for autonomous surgery via language-conditioned imitation learning

Research Article: Chelsea Finn, et al. science.org, 09 July 2025. https://doi.org/10.1126/scirobotics.adt5254.

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prof Surya Ganguli
An analytic theory of creativity in convolutional diffusion models

Research Article: Surya Ganguli, Mason Kamb. arxiv.org, 28 Dec 2024. https://doi.org/10.48550/arXiv.2412.20292.

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prof Siddharth Krishnan
Siddharth Krishnan’s implantable device

Deployed by heat or sensor, the device is able to deliver in an emergency.

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prof Surya Ganguli
Surya Ganguli's research uncovers how AI creates

"For the first time, researchers have shown how the creativity of diffusion models can be thought of as a by-product of the denoising process itself, one that can be formalized mathematically and predicted with an unprecedentedly high degree of accuracy."

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