​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

​RapidAI has announced the receipt of U.S. Food and Drug Administration (FDA) 510(k) clearance for the latest version of its Rapid ICH product, an artificial intelligence (AI)-powered tool designed to assist in the triage and notification of suspected intracranial hemorrhage (ICH) in non-contrast head CT images. This updated version boasts a 97% sensitivity and 100% specificity, making it one of the most accurate solutions available for ICH detection. By analyzing CT scans, Rapid ICH can detect hemorrhages as small as 0.4 ml, prioritize cases within the radiology worklist, and automatically send notifications to PACS, email, and the Rapid mobile app, thereby streamlining decision-making processes for clinicians. The integration of Rapid ICH with Rapid Hyperdensity further enhances its capabilities by quantifying and characterizing hyperdense regions, providing additional context to aid in triage and transfer decisions. This advancement aims to reduce false positives and alleviate notification fatigue among healthcare providers, ultimately improving patient care in acute neurovascular situations

​Stony Brook University's Ookami supercomputer, operational since 2020, has joined the National Science Foundation's ACCESS (Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support) program as a resource provider. Ookami is the first system outside Japan to utilize the A64FX processor developed by RIKEN and Fujitsu, which was also employed in the Fugaku supercomputer, previously the world's fastest machine. This architecture is particularly suited for memory-intensive applications, such as sparse-matrix solvers, commonly used in engineering and physics simulations. Researchers nationwide can now access Ookami through the ACCESS program, facilitating advanced computational and data-driven research across various scientific disciplines