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‘Ripple Effect’ explores higher education
A college student sitting on a bench outside a university building.

Image: iStock/Santiaga

‘Ripple Effect’ explores higher education

The latest installments of The Wharton School’s faculty research podcast, “Ripple Effect,” delves into the latest issues facing higher education, from paying athletes to AI in the classroom.

From Knowledge at Wharton

Uncovering new antibiotics inside the human gut
Microscopic rendering of bacterial in the small intestines.

Image: iStock/ChrisChrisW

Uncovering new antibiotics inside the human gut

Researchers from Penn Engineering, led by César de la Fuente, have leveraged AI to discover dozens of potential new antibiotics in the human gut microbiome.

Ian Scheffler

A mission to supercharge scientific research
A doctor using AI and machine learning on a computer.

Image: iStock/ipopba

A mission to supercharge scientific research

Jacob Gardner, an assistant professor in computer and information science, wants to leverage AI to accelerate scientific research across disciplines.

Ian Scheffler

Pushing the limits of scientific discovery with machine learning
Computer code.

Image: iStock/iambuff

Pushing the limits of scientific discovery with machine learning

Penn Engineering’s Nat Trask is combining applied mathematics and traditional physics modeling with the powers of machine learning to design some of his first machine-learning-powered, self-driving labs at Penn.

Melissa Pappas

As colleges grapple with AI’s pitfalls, U. of Delaware uses technology to transform faculty lectures into interactive study aides

As colleges grapple with AI’s pitfalls, U. of Delaware uses technology to transform faculty lectures into interactive study aides

Penn will be the first Ivy League school to launch a new undergraduate degree in artificial intelligence. PIK Professor Duncan Watts and colleagues built the Media Bias Detector, which uses artificial intelligence to scan news articles for tone and bias.

Embracing the power of deep learning in safety-critical systems
From left: Pengyuan Eric Lu, Insup Lee, and Oleg Sokolsky.

From left: Pengyuan Eric Lu and his mentors, Insup Lee, Cecilia Fitler Moore Professor in Computer and Information Science; and Oleg Sokolsky, research professor in CIS.

(Image: Courtesy of Penn Engineering)

Embracing the power of deep learning in safety-critical systems

Pengyuan Eric Lu, a Ph.D. candidate at the Penn Research in Embedded Computing and Integrated Systems Engineering Center, focuses his research on enhancing the reliability and safety of cyber-physical systems, in which “smart” technology interacts with the physical world.

From Penn Engineering