News Stories

RIT astrophysicist Jason Nordhaus is using AI and machine learning to hunt for star systems that will help us understand how stars live, die, and create gravitational waves.

Biomedical sciences at RIT is more than a major—it’s a pathway to medical school and future careers. Recognizing the need for connection beyond the classroom, students founded the Biomedical Sciences Student Association to create a strong peer network and collaborative environment.

RIT’s new Research Building officially opened its doors Dec. 2, and inside, faculty and students are gearing up to usher in a new era of discovery on campus.

Through Into the ROC, a program that introduced nearly 8,500 RIT community members to the region since 2016, students have explored, volunteered, and built lasting community ties.

Researchers at RIT have improved the electronics used in communication and radar systems to better process signals using electromagnetic radio waves. This breakthrough could advance computing processes for technologies that need to handle signals quickly and efficiently.

A stuffed tiger named Cash is becoming their unlikely symbol of connection, traveling from home to home as a tangible link between classmates across the country.

RIT is teaming up with Gallaudet University to prepare the next generation of artificial intelligence researchers and practitioners who will develop AI for everyone.

Engineering researcher Stephen Polly was recently appointed director of the RIT NanoPower Research Laboratory and will lead one of the university’s major research groups.

From satellite debris to artificial intelligence, double major students find research success by combining expertise in computer science and economics.

Annalee Dorozynski, a fifth-year game design and development major, has created a VR recreation of the Music Performance Theater that audience members can use to locate their seat to see the view of the stage from that location.

BiRed Imaging, co-founded by Professor Satish Kandlikar, blends infrared camera capture, numerical simulation, and artificial intelligence-driven algorithms to accurately detect the presence, size, and location of tumors. The revolutionary process spares patients painful breast compression, radiation exposure, false alarms, and unnecessary anxiety.