Science & Technology

Update of a local tree field guide offers ‘antidote for plant blindness’

A new edition of “Philadelphia Trees,” coauthored by former Morris Arboretum director Paul W. Meyer, Catriona Bull Briger, and Edward Sibley Barnard offers tips for identifying tree species and highlights some of the most notable trees in the region, including many on Penn’s campus.

Katherine Unger Baillie

Real or fake text? We can learn to spot the difference

Penn computer scientists prove that people can be trained to tell the difference between AI-generated and human-written text. Their new paper debuts the results of the largest-ever human study on AI detection.

From Penn Engineering Today

What can network theory offer public health?

Penn Engineering’s Shirin Saeedi Bidokhti and Saswati Sarkar have produced a suite of studies that apply techniques from network and information theory to pandemic control and prevention.

From Penn Engineering Today

Genomics reveals a complex human history in Africa

An international team of researchers led by Penn geneticists sequenced the genomes of 180 indigenous Africans. The results shed light on the origin of modern humans, African population history, and local adaptation.

Katherine Unger Baillie



In the News


Philadelphia Inquirer

New Penn AI master’s program aims to prep students for ‘jobs that we can’t yet imagine’

Chris Callison-Burch of the School of Engineering and Applied Science discusses Penn’s new online master’s program in artificial intelligence.

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NBC Philadelphia

Penn Engineering announces first Ivy League Master’s degree in AI

The School of Engineering and Applied Science has announced the first graduate program in artificial intelligence among Ivy League universities, led by Chris Callison-Burch.

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Technical.ly Philly

Penn Engineering rolls out an online master’s degree in AI, first in Ivy League

The School of Engineering and Applied Science has announced the first graduate program in artificial intelligence among Ivy League universities, led by Chris Callison-Burch.

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Newsweek

Man does DNA test, not prepared for what comes back ‘unusually high’

César de la Fuente of the School of Engineering and Applied Science and Perelman School of Medicine says that Neanderthal DNA provides insights into human evolution, population dynamics, and genetic adaptations, including correlations with traits such as immunity and susceptibility to diseases.

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The Washington Post

Forecast group predicts busiest hurricane season on record with 33 storms

A research team led by Michael Mann of the School of Arts & Sciences is predicting the upcoming Atlantic hurricane season will produce the most named storms on record, fueled by exceptionally warm ocean waters and an expected shift from El Niño to La Niña.

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WHYY (Philadelphia)

My Climate Story: Philly students take science from abstract to personal

The “My Climate Story” project at the Environmental Humanities Department helps students and teachers learn about climate change’s impact in everyday backyards, with remarks from Bethany Wiggin. The idea is credited to María Villarreal, a College of Arts and Sciences second-year from Tampico, Mexico.

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Technical.ly Philly

Penn professor on gen AI’s rapacious use of energy: ‘One of the defining challenges of my career’

Benjamin Lee of the School of Engineering and Applied Science says that hardware and infrastructure costs are growing at high rates for generative AI.

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SciTechDaily

Satellite images capture extraordinary flooding in the United Arab Emirates

Michael Mann of the School of Arts & Sciences explains how three low-pressure systems formed a train of storms that battered the United Arab Emirates.

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Associated Press

Here’s why experts don’t think cloud seeding played a role in Dubai’s downpour

Michael Mann of the School of Arts & Sciences says that many people blaming cloud seeding for Dubai storms are climate change deniers trying to divert attention from what’s really happening.

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Big Think

Can we stop AI hallucinations? And do we even want to?

Chris Callison-Burch of the School of Engineering and Applied Science says that auto-regressive generation can make it difficult for language learning models to perform fact-based or symbolic reasoning.

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