AI Interactive Quiz Pedagogy is an AI-powered educational platform developed at SUNY Oswego that transforms traditional quizzes into adaptive learning experiences. The system automatically generates quiz questions from multiple content sources, including documents, PDFs, and web pages, and uses a Socratic teaching approach to provide personalized hints and guidance when students struggle. Rather than simply assessing knowledge, the platform promotes critical thinking, engagement, and deeper understanding through interactive feedback tailored to individual learning needs. Suitable for classroom instruction, homework, and self-paced study, the copyright-protected technology is at TRL 4 and available for licensing.

Methods and Apparatus to Allocate Physical Qubits to Support Distributed Quantum Error Correction (QEC) Codes is a quantum computing technology developed at the University at Buffalo that enables more scalable and fault-tolerant distributed quantum computing systems. The invention provides a framework for allocating data and ancilla qubits across multiple quantum processing units (QPUs), optimizing resource utilization, balancing computational workloads, and reducing communication overhead associated with quantum error correction. By supporting distributed QEC architectures and heterogeneous qubit technologies, the system helps overcome limitations of current noisy intermediate-scale quantum (NISQ) systems and advances the development of utility-scale quantum computing. The technology is protected by U.S. Provisional Patent Application, has been validated in a laboratory environment at TRL 4, and is available for licensing or collaboration.

Efforts to virtually unroll and read papyrus scrolls carbonized in the eruption of Vesuvius show the value of X-ray scans and AI in deciphering texts. UC Berkeley and NIST scientists have now created, carbonized and scanned contemporary scrolls to see if lead in the ink would make deciphering easier. They found that even small amounts of lead make the letters readable in X-ray scans, arguing for a systematic lead analysis of the remaining papyri.

Right whales forage near the water’s surface at night, putting them at greater risk of potentially fatal collisions with boats, Jay Kirkham at Dalhousie University, Canada, and colleagues report on September 16, 2026, in the open access journal PLOS One.

X-ray technology and artificial intelligence — along with the discovery of lead in the ink of fragments of a collection of ancient Roman scrolls — could soon help scientists read long-lost texts buried by the eruption of Mt. Vesuvius in 79 CE, according to a study published September 16, 2026, in the open access journal PLOS One by Douglas Seiler, an affiliate of the University of California Berkeley, USA, Jacob Michael LaManna from the National Institute of Standards and Technology, USA, David Kreimer from University of California Berkeley, USA, and colleagues.

Researchers designed an AI-driven system that could boost the safety and speed of minimally invasive surgical procedures by rapidly matching X-rays captured during surgery with a patient’s preoperative 3D medical scan.