Science & Technology

Penn Scientists Identify Patterns of RNA Regulation in the Nuclei of Plants

When the human genome was first sequenced, experts predicted they would find about 100,000 genes. The actual number has turned out to be closer to 20,000, just a few thousand more than fruit flies have. The question logically arose: how can a relatively small number of genes lay the blueprint for the complexities of the human body?

Katherine Unger Baillie

Penn and UGA Awarded $23.4 Million Contract for Pathogen Genomics Database

At the turn of the millennium, the cost to sequence a single human genome exceeded $50 million, and the process took a decade to complete. Microbes have genomes, too, and the first reference genome for a malaria parasite was completed in 2002 at a cost of roughly $15 million. But today researchers can sequence a genome in a single afternoon for just a few thousand dollars.

Katherine Unger Baillie

Penn Research Outlines Basic Rules for Construction With a Type of Origami

Origami is capable of turning a simple sheet of paper into a pretty paper crane, but the principles behind the paper-folding art can also be applied to making a microfluidic device for a blood test, or for storing a satellite's solar panel in a rocket’s cargo bay.   

Evan Lerner



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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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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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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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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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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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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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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