News

City speaks to blacksmith Ben Spangler '16 (mechanical engineering) about how his backyard forge blends traditional craftsmanship with modern artistry to create hand-forged knives.

Researchers at RIT developed new artificial intelligence techniques to extract and visualize information from standard-of-care biomedical data, providing a means for clinicians to better diagnose diseases and determine interventions.

RIT Assistant Professor Obioma Uche is researching how to produce ethylene from methane feedstock with the goal of creating environmental and economic benefits.

Optics and Photonics News highlights the network, which could potentially hook up diverse quantum computers over long distances.

MSN highlights the experimental quantum communications network between RIT and University of Rochester, speaking to Stefan Preble, professor in the Kate Gleason College of Engineering.

Interesting Engineering speaks to Stefan Preble, professor in the Kate Gleason College of Engineering, and microsystems engineering Ph.D. student Vijay Sundaram about the network.

Using a non-traditional, micro-organism separation method, researchers at RIT discovered a faster technique that can be used to distinguish cells that are resistant to antibiotics or cancer.

TechTarget speaks to Paloma Hamilton, fifth-year mechanical engineering student; Geoff Twardokus, electrical and computer engineering Ph.D. student; and Christopher Collison, director of RIT's AI Hub and Initiatives, about the innovative developments featured at Imagine RIT.

Techstination interviews Stefan Preble, professor in the Kate Gleason College of Engineering, and microsystems engineering Ph.D. student Vijay Sundaram about the network.

Emphasizing the power of a creative mindset over mastering the pursuit of excellence, Astro Teller urged the Class of 2025 to embrace the journey ahead with curiosity, humility, and a willingness to be intentionally foolish.

Phys.org speaks to Stefan Preble, professor in the Kate Gleason College of Engineering, about RoQNET, an experimental quantum communications network using two optical fibers.