Stony Brook University, in partnership with Redshred, has been awarded a Phase I Small Business Technology Transfer (STTR) contract from the Defense Threat Reduction Agency (DTRA) to develop the Radiation AI Decision and Information Assistant for Nuclear Tasks (RADIANT).
This innovative AI-powered platform is designed to support military operations and nuclear safety through real-time, data-driven radiation guidance.
If economic and technological transformations have changed our relationship with literature before, they could do so again.
US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and maintenance costs.
Researchers at Stony Brook University and Columbia Law School found that AI models fine-tuned on a specific author produce texts that readers rate as more stylistically accurate and higher in quality than those written by professional imitators, regardless of the author's publication history.
We present a novel method for scale-invariant 3D face recognition by integrating computer-generated holography with the Mellin transform.
When some people think of artificial intelligence (AI), they see images of students hunched over laptops at 11:59 p.m. debating whether or not to use ChatGPT or asking Siri and Alexa simple questions. But beyond these everyday uses, researchers at Stony Brook University see AI as a powerful tool for advancing medical discovery. These research projects, including work in radiology, drug development, and data-driven clinical research, are designed to show how AI can aid physicians rather than replace them.
When Ankita Nagpal boarded a flight from India to the United States two years ago, she brought with her a passion for writing and a sense that she needed time and community to grow into the writer she hoped to become. She had never been to the United States.
Stony Brook, NY, December 18, 2025 — When a patient with cancer comes in for radiation therapy, one of the most time-consuming steps happens long before any beam is turned on. Clinicians must decide exactly how much radiation each part of the body should receive: enough to destroy the tumor, but not so much that it harms nearby healthy organs.
