SiCN over photonics structures
Business Announcement
Updates every hour. Last Updated: 25-Oct-2026 20:16 ET (26-Oct-2026 00:16 GMT/UTC)
SiCN over Photonics Structures is a semiconductor manufacturing technology that improves the performance and reliability of photonic integrated circuits (PICs) through enhanced deposition and optimization of silicon carbon nitride (SiCN) and silicon nitride barrier layers. By selectively modifying these barrier materials over conductive structures, the invention reduces unwanted interactions within photonic devices while improving light-signal transmission. The approach is compatible with existing silicon-based fabrication processes, enabling adoption without major manufacturing changes. Potential applications include telecommunications, high-performance computing, aerospace, defense, automotive, and medical technologies that rely on advanced photonic systems. The patented technology is at TRL 6 and available for licensing.
MyQL: The Retrieval Augmented Tutor is an AI-powered educational platform designed to enhance learning by integrating course materials directly into a personalized tutoring experience. Using retrieval-augmented generation (RAG), the system provides context-aware answers with citations, interactive practice opportunities, and tailored feedback grounded in instructor-provided content. MyQL promotes critical thinking by encouraging students to evaluate and correct information rather than passively consume answers, while also supporting experiential and collaborative learning. Designed to operate on low-end hardware, it prioritizes accessibility, adaptability, and privacy. Potential applications include higher education, online learning, workforce training, and AI literacy programs. The patent-pending technology is at TRL 4 and available for licensing.
Researchers at Washington University in St. Louis have developed a process to develop renewable carbon fiber that meets the standards of the automobile industry, a key step to reusing and optimizing waste materials from paper pulp.
Harvard computer scientists have released RLE-Bench, an evaluation tool that tests how well AI coding agents can perform the task of engineering a physical robot.
Harvard researchers have joined a Sandia National Laboratories-led project to create a physics-constrained AI foundation model for studying complex turbulent flows that are important to energy systems.
JMIR Medical Informatics Editor-in-Chief Arriel Benis and JMIR Publications are pleased to announce an updated focus and scope for the journal. The revision reflects rapid technological advancements and the evolving landscape of biomedical research.