The sprawling cast of characters in the Irish novel Finnegans Wake compares to the meme culture that permeates the Internet today, according to research by English major Tom Murphy.
I’ve said it here before: I’m not much of a gamer. My 9-year-old nephew gets exasperated every time he sets me up in front of the Wii and ultimately just […]
By now you’ve probably heard of the Boeing 787 Dreamliners and the problems they had in their first weeks in the air. Basically, the Dreamliner is an extremely fuel-efficient airliner. […]
The real world is an enormously complex network in which everything is interconnected. Assistant professor of computer and information science Yizhou Sun develops data-mining algorithms that take advantage of that complexity.
“It totally blew my mind.” That’s what graduate student Laura Pfeifer Vardoulakis said of her encounter with work taking place in Timothy Bickmore’s lab in the College of Computer and […]
In 2009, Northeastern University network scientist Alessandro Vespignani developed a computational model that predicted the spread of the H1N1 virus. Three years later, new studies show that these predictions were highly accurate.
Northeastern on Wednesday hosted “THATCamp,” a so-called “unconference” that offered attendees a unique way to navigate the novel field of digital humanities.
Alessandro Vespignani, the Sternberg Family Distinguished University Professor of physics, computer science and health sciences, believes that complex systems science has the potential to solve real-world challenges.
Two new faculty members, Ryan Cordell and David Smith, are among a group at Northeastern investigating the emerging field of digital humanities.
New interdisciplinary assistant professor Raymond Fu explains the science behind facial recognition, one of the new technologies in the FBI’s Next Generation Identification program.
New assistant professor Gillian Smith is bringing together her interests in crafting and game design to change the way we think about computer science.
New research from psychology professor David DeSteno suggests that we can pick out untrustworthy people based on their level of fidgetiness. The results were confirmed using a humanoid robot.