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WATCH: Provost Sotiropoulos discusses Penn State’s AI Transformation initiative

Watch this video where Penn State's Executive Vice President and Provost Fotis Sotiropoulos shares how Penn State is embracing the advancements of AI.

AI Guides Program aims to support artificial intelligence skills at Penn State

Penn State Information Technology's (IT) Learning and Development team recently announced the soft launch of the AI Guidelines program which aims to help University faculty and staff take the first steps to learning and using AI tools.

Q&A: Could light-powered computers reduce AI’s energy use?

According to Xingjie Ni, associate professor of electrical engineering in the Penn State School of Electrical Engineering in Computer Science, AI datacenters could potentially be responsible for over 13% of global electricity use by 2028. His research team has developed a prototype that can accelerate and reduce the energy cost of AI computation.

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Recent AI News and Events

Chatbots overemphasize sociodemographic stereotypes, researchers report

Feb 26, 2026 - According to researchers in the Penn State College of Information Sciences and Technology (IST), AI chatbots don't always mimic real people well. The team found that some chatbots relied on superficial stereotypes and exaggerated certain cultural markers that diminished the authentic experiences of the humans they were representing.

IST, engineering students competing in global Amazon Nova AI Challenge

Feb 26, 2026 - A team of Penn State College of Information Sciences and Technology and College of Engineering students is one of 10 global finalists in the Amazon Nova AI Challenge.

Fries with that? Ordering from AI linked to selecting more indulgent foods

Feb 25, 2026 - Researchers in the Penn State School of Hospitality Management found that customers going through drive-thrus are more likely to order indulgent food options when speaking with AI rather than a human employee.

Borrowing from biology to power next-gen data storage

Feb 24, 2026 - The storage capacity of DNA could potentially be applied to electronics, significantly enabling more efficient data centers, speedy data processing and the ability to process far more complicated data according to a team of researchers at Penn State.

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