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Using AI to map research in the School of Arts & Sciences
Screenshot of University Atlas Project visualization.

Colin Twomey created the University Atlas Project, showing the thematic commonalities between research publications from current faculty in the School of Arts & Sciences at the University of Pennsylvania. Viewers can search for publications by department, faculty member, program affiliation, keyword, or year. The map can be viewed at uatlas.com/penn/sas

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Using AI to map research in the School of Arts & Sciences

Colin Twomey of the Data Driven Discovery Initiative applied a large language model to create a color-coded, interactive map of publications from current SAS faculty.
Showing up for Penn in London
Penn president J. Larry Jameson speaking at a microphone in London.

Interim Penn President J. Larry Jameson addresses the audience at Penn’s academic symposium in London on Friday, June 21, 2024.

(Image: Courtesy of Penn Giving)

Showing up for Penn in London

A capacity audience attended an academic symposium in London titled “Frontiers of Knowledge and Discovery: Leading in a Changing World.”
The power of protons
Two nurses guiding a prone patient into a proton imaging machine.

(On homepage) Until recently, proton therapy has occupied a small niche within the field of radiation oncology. Penn Medicine has played a leading role in championing proton therapy and moving the field forward.

(Image: Scott Nibauer)

The power of protons

Penn Medicine has treated more than 10,000 cancer patients at three proton therapy centers across the region, including the largest and busiest center in the world—while also leading the way in research to expand the healing potential of these positive particles.

Kirsten Weir for Penn Medicine Magazine

A first, physical system to learn nonlinear tasks without a traditional computer processor
Contrastive local learning network.

University of Pennsylvania physics and engineering researchers have created a contrastive local learning network, an analog system that is fast, low-power, scalable, and able to learn nonlinear tasks.

(Image: Erica Moser)

A first, physical system to learn nonlinear tasks without a traditional computer processor

Physics and engineering researchers created a contrastive local learning network that is fast, low-power, and scalable.
Duncan Watts and CSSLab’s New Media Bias Detector
Cropped Hands Of Journalists Interviewing a politician.

iStock: microgen

Duncan Watts and CSSLab’s New Media Bias Detector

PIK Professor Duncan Watts and colleagues have developed the Media Bias Detector, which uses artificial intelligence to analyze news articles, examining factors like tone, partisan lean, and fact selection.
Exploring the limits of robotic systems
A robotic arm in a lab.

Image: iStock/gorodenkoff

Exploring the limits of robotic systems

Bruce Lee, a doctoral student in Penn Engineering’s Department of Electrical and Systems Engineering, offers insights into the fundamental limits of machine learning.

From Penn Engineering Today

Kotaro Sasaki and his team unveil the genetics of testicular cancer
Microscopic image of seminoma tissue. The image shows green-stained cells representing early-stage germ cells, red-stained areas indicating high gene activity linked to cancer growth, and gray-stained nuclei of various cells
Section of seminoma tissue, a type of testicular cancer, showing strong expression of proteins/RNAs (TFAP2C, green; BICD1, red) that are typically present in pre-migratory/migratory primordial germ cells, precursors of sperm.

(Image: Courtesy of Kotaro Sasaki)

Kotaro Sasaki and his team unveil the genetics of testicular cancer

Researchers from Penn Vet develop the first in vitro seminoma model, shedding light on chromosomal anomalies and signaling pathways.