If you can recognize structures around you while walking down a city street, you have your eyes to thank. Humans can automatically perceive 3D structure in the world by identifying lines, shapes, symmetries and the patterns and relationships between them in things like buildings, sidewalks and everyday objects. But can a computer be taught to do the same?

As consumers and retailers gear up for Cyber Monday, one of the busiest days for online retail sales, teaching professor of information sciences and technology Ed Glantz shared best practices that can keep your personal information safe.

When Nicholas Stannard, Shelly Gasperine and Georges Nkamicaniye graduated from the College of Information Sciences and Technology at Penn State in 2006, they didn’t have a large alumni network to draw from. The college, which opened its doors in 1999, had graduated its first class just three years earlier. Today, the three alumni, along with Sujay Patel, a 2014 graduate, are enjoying successful careers and want to pay forward their wisdom and knowledge to the next generation.

Undergraduate students in Penn State’s College of Information Sciences and Technology are required to complete at least one internship before they graduate. The college's Peer Career Assistant initiative serves as a new resource for IST students who are looking to complete the internship requirement and, more importantly, get a head start on their careers.

Though they play a critical role in everything from the development of self-driving cars and voice-activated search to how medical providers make health-related decisions, deep learning techniques are rarely used in cybersecurity. Now, thanks to a new technique developed by an international team of researchers, deep learning could be poised for another breakthrough.