Through
9/15
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.
A capacity audience attended an academic symposium in London titled “Frontiers of Knowledge and Discovery: Leading in a Changing World.”
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.
Physics and engineering researchers created a contrastive local learning network that is fast, low-power, and scalable.
Focusing on corporate political action, AI, immigration, and more, the Polarization Research Lab aims to dispel myths about partisan beliefs.
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.
In a new megastudy, Katy Milkman of the Wharton School and collaborators at Penn’s Behavior Change for Good Initiative led research on reminders and free rides to and from pharmacies to boost COVID-19 vaccination rates.
Bruce Lee, a doctoral student in Penn Engineering’s Department of Electrical and Systems Engineering, offers insights into the fundamental limits of machine learning.
Driving a climate model forward and backward in time, Mann Research Group scientists found strong path dependence in the evolution of Plio-Pleistocene glaciations.
Researchers from Penn Vet develop the first in vitro seminoma model, shedding light on chromosomal anomalies and signaling pathways.