School of Engineering & Applied Science

Penn Researchers Discover New Chiral Property of Silicon, With Photonic Applications

By encoding information in photons via their spin, “photonic” computers could be orders of magnitude faster and efficient than their current-day counterparts. Likewise, encoding information in the spin of electrons, rather than just their quantity, could make “spintronic” computers with similar advantages.   

Evan Lerner

Researchers at Penn Develop Scar-like Culture Systems to Understand and Treat Fibrosis

A scar might be a reminder of an accident or surgery, but the fibrous tissue that makes up a scar also forms after a heart attack and arises in solid tumors as well as in chronic diseases such as liver cirrhosis and muscular dystrophy. Implanted medical devices and materials are similarly surrounded by fibrous capsules that impede their function.  

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.

FULL STORY →



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.

FULL STORY →



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.

FULL STORY →



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.

FULL STORY →



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.

FULL STORY →