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Using AI to help predict cardiac arrests
A doctor looking at EKG heart data.

Image: SimpleImages via Getty Images

Using AI to help predict cardiac arrests

A Penn Engineering and Penn Medicine team built CAMEL, an artificial intelligence model that forecasts dangerous cardiac rhythms before they strike. Their findings pave the way for a new era of real-time, predictive heart care.

2 min. read

Using AI to surface unreported GLP-1 side effects in Reddit posts
A computer screen on a Reddit page about Wegovy next to the computer code on screen.

Image: Courtesy of Penn Engineering

Using AI to surface unreported GLP-1 side effects in Reddit posts

Researchers at Penn Engineering have identified patient-reported symptoms associated with GLP-1s in 400,000 posts from 70,000 user sand highlighted two main classes of symptoms that warrant further study.

Ian Scheffler

1 min. read

Making ‘light’ work of computing  
Futuristic digital intelligent chip data processing technology

Image: Chayanan via Getty Images

Making ‘light’ work of computing  

Penn physicists led by Bo Zhen have created hybrid light-matter particles that interact strongly enough to compute, pointing toward ultrafast, low-energy optical AI hardware.

2 min. read

Penn’s ENIAC, the world’s first electronic computer, turns 80
Jean Bartik (left) and Frances Spence operating the ENIAC’s main control panel in 1946.

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Penn’s ENIAC, the world’s first electronic computer, turns 80

Housed in the University of Pennsylvania’s Moore School Building, ENIAC—the first programmable, electronic, general-purpose computer—launched in 1946. ENIAC’s ability to be reprogrammed to solve a wide range of complex numerical problems was revolutionary and laid the foundation for modern digital systems.

4 min. read

Awards and accolades for Penn faculty
College Hall seen through the archway of Fischer Fine Arts.

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Awards and accolades for Penn faculty

A roundup of appointments and awards for various members of Penn’s faculty across several schools.

2 min. read

How might AI shape the future of work?
Headshots of Konrad Kording (left) and Ioana Marinescu (right).

Konrad Kording and Ioana Marinescu. 

(Image: Eric Sucar (left) and Carson Easterly (right))

How might AI shape the future of work?

Computer scientist Konrad Kording and economist Ioana Marinescu have developed an interactive model that incorporates assumptions from both their fields to predict how AI will affect wages, jobs, and the overall economy.

4 min. read