Penn Engineering Joins AI Alliance The University of Pennsylvania School of Engineering and Applied Science announces its membership in the AI Alliance, an international community dedicated to advancing open, safe and responsible artificial intelligence […]
GRASP Faculty Members Awarded Two Inaugural NSF SLES Grants: “Specification-guided Perception-enabled Conformal Safe Reinforcement Learning” This article is one of a two-part series on the GRASP Lab’s involvement in the […]
Collaborative Research in Trustworthy AI for Medicine Penn Engineering and Perelman School of Medicine University of Pennsylvania Call for Proposals due January 31, 2024 Context: One of the most compelling […]
AI can write a wedding toast or summarize a paper. But what happens when it’s asked to build a bomb? Ph.D. candidate Alex Robey safeguards AI systems against malicious tampering […]
Penn Engineering’s ASSET Center: An Interdisciplinary Initiative Building Safe, Explainable and Trustworthy AI Systems While AI tools promise life-changing enhancements in everything from our entertainment to our medicine, this black […]
Penn Engineering IDEAS Initiative -Tenure- Track Faculty Positions in Artificial Intelligence, Data Science and Machine Learning 2023-2024 If you are interested in learning more and applying, click the link here!
Enhancing AI Robustness for More Secure and Reliable Systems Researchers at EPFL have uncovered a fundamental flaw in the training of machine learning systems and elaborated a new formulation for […]
“Topping Off” Amy Gutmann Hall Penn Engineering Dean Vijay Kumar, Harlan and Sabina Stone, and President Liz Magill. (Image: Kait Privitera) Two years after the project ceremonially broke ground at […]
Amazon Provides Gift to 10 Penn Engineering PhD students for Work on Trustworthy AI Top row, left to right, Eshwar Ram Arunachaleswaran, Natalie Collina, Ziyang Li, Stephen Mell, and Georgy […]
A team of ASSET researchers wins honorable mention in NIH Long COVID Computational Challenge Penn took a unique approach to this challenge and developed a PASC/Long COVID prediction model that […]
