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Computer Science
Localizing epilepsy ‘hotspots’
Localizing epilepsy ‘hotspots’
Student interns worked this summer with the Davis Lab in the Penn Epilepsy Center to research improvements to epilepsy diagnosis using the tools of machine learning and network analysis.
Penn joins Public Interest Technology University Network
Penn joins Public Interest Technology University Network
As a member of PIT-UN, Penn deepens its investment in STEM training for the public good.
Navigating ‘information pollution’ with the help of artificial intelligence
Navigating ‘information pollution’ with the help of artificial intelligence
Using insights from the field of natural language processing, computer scientist Dan Roth and his research group are developing an online platform that helps users find relevant and trustworthy information about the novel coronavirus.
Engineering’s Stephanie Weirich designs tools for a safer world
Engineering’s Stephanie Weirich designs tools for a safer world
Stephanie Weirich, ENIAC President’s Distinguished Professor in Computer and Information Science, aims to make software systems more reliable, maintainable, and secure.
Language in tweets offers insight into community-level well-being
Language in tweets offers insight into community-level well-being
In a Q&A, researcher Lyle Ungar discusses why counties that frequently use words like ‘love’ aren’t necessarily happier, plus how techniques from this work led to a real-time COVID-19 wellness map.
Working to keep Penn ‘cyber safe’
Working to keep Penn ‘cyber safe’
Media hacks and data breaches are everywhere. Nick Falcone of Penn’s Office of Information Security works to keep the University’s information assets safe, from employing phishing-simulation tools to monitoring attack trends across all schools and centers.
Diving into code to illuminate the history of computing
Diving into code to illuminate the history of computing
Stephanie Dick delves deep into the practice of computer programming and design to shed light on different communities’ attempts to automate reason, knowledge, and proof.
Three Penn faculty named 2019 AAAS Fellows
Three Penn faculty named 2019 AAAS Fellows
Three from Penn have been named to the American Association for the Advancement of Science’s newest class of Fellows: Carolyn Gibson of the School of Dental Medicine, Sampath Kannan of the School of Engineering and Applied Science, and Ellen Puré of the School of Veterinary Medicine.
Google’s claims of quantum supremacy: Groundbreaking, overhyped, or both?
Google’s claims of quantum supremacy: Groundbreaking, overhyped, or both?
A Q&A with Lee Bassett, a scientist who works on quantum computing platforms, with insights into this feat of engineering and what the future might hold for this fast-paced field of research.
Helping Philadelphia tackle trash with technology
Helping Philadelphia tackle trash with technology
Last fall, a team of undergraduates developed a high-tech solution to help the city target one of its persistent problems: the illegal dumping of construction and trash debris.
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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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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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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CNET
How the solar eclipse will affect solar panels and the grid
Benjamin Lee of the School of Engineering and Applied Science says that the electrical grid will have to figure out how to match supply and demand during brief windows where the energy source goes away.
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