News

​Stony Brook University faculty members are addressing the environmental impact of data centers, which currently contribute approximately 2% of global greenhouse gas emissions—comparable to the entire airline industry. With a $1.5 million National Science Foundation (NSF) grant, the team is developing comprehensive metrics to assess sustainability costs, including energy usage and equipment lifecycle emissions. Their research also explores the use of energy-efficient edge nodes to reduce power consumption. This initiative aims to create verifiable, holistic sustainability measures to guide the design of greener computing services and inform policy decisions

Researchers at Emory University's Winship Cancer Institute have developed an AI-based biomarker that utilizes routine CT scans to predict how patients with non-small cell lung cancer (NSCLC) will respond to immunotherapy. The study, published in Science Advances, identifies "quantitative vessel tortuosity" (QVT)—the degree of twisting in tumor-associated blood vessels—as a key indicator. AI analysis of over 500 patient scans revealed that less twisted vasculature correlates with better responses to immune checkpoint inhibitors (ICIs). This non-invasive method could guide treatment decisions and reduce unnecessary costs, as ICIs can exceed $200,000 annually per patient. The research was led by Dr. Mohammadhadi Khorrami and Dr. Anant Madabhushi, with contributions from Case Western Reserve University and other institutions.

​VERSES Technologies has published a groundbreaking research paper outlining a novel approach to Artificial General Intelligence (AGI). The paper introduces a framework based on Active Inference, a theory from neuroscience that models how biological systems perceive and act in the world. This methodology emphasizes reducing uncertainty to achieve expected outcomes, contrasting with traditional AI models that rely heavily on large datasets. The research proposes the development of intelligent agents capable of learning, adapting, and acting in real-time, aiming to create systems with human-level intelligence. This work represents a significant step forward in the pursuit of AGI, offering a new perspective on AI development.

Stony Brook University's Reality Deck, a cutting-edge immersive visualization facility, is aiding researchers in understanding and predicting storm surge emergencies. By simulating extreme weather scenarios on a computing cluster and immersing users in a 360-degree environment, the Reality Deck allows for real-time visualization of flooding events, enhancing decision-making during crises. This tool is particularly valuable for emergency responders and urban planners in coastal regions, providing a clearer understanding of potential impacts and aiding in the development of effective response strategies