ModellingTopological Feasibility Guarantees for Differentiable Predictive ControlarXiv — Systems and Control (eess.SY) · yesterdayDigital twinOnline Data-Driven Reachability Analysis using Zonotopic Recursive Least SquaresarXiv — Systems and Control (eess.SY) · yesterdayDigital twinResults of Foresight Session on Cyber-Physical Systems Security PublishedspbIT · 20hDigital twinMachine Vision for Digital Twins, 3D Stereo Camera, AI Sensor GrowthVision Systems Design · yesterdayDigital twinAegis Secures $480K for Digital Twin ResearchPluang · yesterdayDigital twinFusionex AI Digital Twins Eliminate Production BottlenecksMacau Business · yesterdayDigital twinDigital Twin of Jinjiang River: Minute-Level Flood Response with 8000G Datasohu.com · yesterdayDigital twinSiemens to Apply Digital Twins in U.S. Army ManufacturingMobility Engineering Technology · yesterdayDigital twinStreaming Sparse Cholesky for Derivative-Informed Gaussian Process Surrogates in Digital TwinsarXiv — Computational Engineering, Finance, and Science (cs.CE) · yesterdayDigital twinA Pragmatic Guide to Building Conservative Discrete Abstractions of Cyber-Physical SystemsarXiv — Systems and Control (eess.SY) · yesterdayDigital twinMultisource Human-in-the-Loop Digital Twin Testbed for Connected and Autonomous Vehicles in Mixed Traffic FlowarXiv — Systems and Control (eess.SY) · yesterdayDigital twinDigital Twin Predicts Infrared Reflective Coating Can Cool by Several Degrees维度网 · yesterday
Student Digital Twins: From Reactive Education to Preventive Success
US & West ·
The paper proposes 'Precision Education' for higher education, borrowing healthcare's shift from reactive treatment to preventive care. Using learning analytics, machine learning, and student digital twins, it aims to predict academic risks and intervene early, personalizing pathways to improve retention and career alignment.
Why it matters
This extends digital twin methodology to social systems, where predicting individual behavior enables managing large-scale educational processes.
From Precision Medicine to Precision Education: A Vision for AI-Powered Student Digital Twins, Preventive Student Success, and Career-Aligned Academic Pathways
A data-driven reachability analysis method computes over-approximations of reachable sets directly from online state measurements, without requiring an accurate dynamic model. It estimates time-varying unknown models using an exponentially forgetting zonotopic recursive least squares method that handles bounded noise.
The company Aktiv published the final document of a foresight session on the future of cyber-physical systems security in Russia. The document provides strategic recommendations and industry forecasts up to 2040.
The news covers the application of machine vision in digital twins, including 3D stereo cameras and the growth of AI sensors. It outlines technological trends in visual perception for simulation and monitoring.
