CS major Christine Mendoza received an NSF Graduate Research Fellowship, which provides three years of financial support, including a $37,000 annual stipend and $16,000 cost-of-education allowance. Mendoza was one of only 207 recipients nationwide in the Computer and Information Science and Engineering category.

Religious studies professor Lauren Leve is collaborating with computer scientist Jim Mahaney and Kathmandu locals to document the Swayambjunath, or “Swayambhu,” temple. Today, the team has conducted more than 30 interviews with temple priests, Buddhist monks, devoted visitors, and other people with traditional connections to the site.

Computer scientist Saba Eskandarian is dedicated to deciphering the problems that come along with online messaging. He studies secure communication systems and applies his knowledge of cryptography — the technique of protecting information by shrouding it in codes — in new ways.

Natalie Stanley received an NIH grant to revolutionize diagnostic and predictive capabilities for patients with Alzheimer’s disease. The grant will provide $414,486 in direct and indirect funding over two years.

Carolina Arts & Sciences Magazine published a round-up of AI research at UNC, featuring CS faculty members Junier Oliva and Gedas Bertasius.

Professor Marc Niethammer received an NIH grant to develop a new framework that combines imaging and genetics to advance research for the treatment of osteoarthritis. The project, funded by $3,326,488 over five years, aims to identify early indicators and genetic targets for treatment by integrating deep learning with genome-wide association studies

Doctoral student Peter Hase joined host Sam Charrington to discuss “scalable oversight,” the importance of developing a deeper understanding of how large neural networks make decisions, how matrices are probed by interpretability researchers, and more.

Assistant Professor Roni Sengupta was recognized with the NIH NIBIB Trailblazer R21 Award. The award will provide roughly $580,000 in total funding to develop a 3D modeling system that can revolutionize endoscopy by providing accurate reconstructions of internal organs.

Roni Sengupta develops AI to modify images and works to make this technology more accessible to everyday creators.

Working with a team at Microsoft Research, Carolina computer science professor Mohit Bansal and his student Zineng Tang, a Microsoft intern, created the CoDi AI system — a model capable of generating any combination of outputs (e.g, text, images, videos, audio) from any combination of inputs. Microsoft Research featured the project on its website last summer, and a few months later, the team presented the revamped CoDi-2 to much fanfare.