What is happening worldwide in digital twins, mathematical modelling and the management of large-scale systems: research, press releases, product news. From the US, China, ASEAN and Africa — translated and summarised.
128 items
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.
Minister Chirchir calls for increased infrastructure investment in Kenya to achieve green and smart growth goals, including digital technologies and sustainable development.
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.
Aegis has received $480K in funding for digital twin research. The funds will be used to advance modeling technologies.
Fusionex Tech offers AI-powered digital twin solutions that help manufacturers identify and eliminate bottlenecks in production processes. The technology enables optimization of operations and increased efficiency.
Malaysian operator U Mobile has opened an EIP Hub to accelerate the adoption of 5G-Advanced and AI technologies among enterprises. The hub provides a platform for testing and developing solutions. The initiative aims to boost digital transformation for businesses in the region.
A digital twin of the Jinjiang River, built on over 8000G of data, achieves minute-level flood response, improving flood prevention decision-making efficiency.
Siemens announced a partnership with the U.S. Army to integrate digital twins and unmanned aircraft system (UAS) production technologies into manufacturing operations. This aims to improve efficiency and modernize defense production.
The paper establishes deterministic feasibility guarantees for differentiable predictive control (DPC), a self-supervised approach for approximating explicit MPC policies. Through topological analysis of the induced reachable safe set, it shows DPC can guarantee feasibility without online safety filters.
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 paper presents an end-to-end digital twin solution for predicting the state of an aircraft structure. The method extends Gaussian processes to include derivative data for improved accuracy and uses a streaming sparse Cholesky factorization for efficient updating with in-service data. This enables real-time high-fidelity forecasting.
The tutorial addresses common pitfalls in building discrete abstractions of cyber-physical systems for verification: under-approximating state space, transitions, unsound pruning of degenerate behaviors, and improper specification lifting. It offers a pragmatic workflow that guarantees conservativeness while balancing pessimism and tractability.
The MSH-MCCT testbed for CAVs integrates physical, virtual, and mixed platforms with multi-source control inputs. Using the Mixed Digital Twin concept (combining mixed reality and digital twin), it allows human drivers and CAV algorithms to interact in mixed traffic. The approach supports testing in realistic scenarios.
A MPC framework for autonomous satellite inspection incorporates estimation covariance into the control objective, merging control and state estimation. The covariance evolves via a linear Kalman filter, and the measurement model depends on relative geometry. This optimizes trajectories for informative data collection while satisfying safety constraints.
California State University used digital twin technology to predict the cooling effect of infrared reflective coatings, which can lower temperatures by several degrees Celsius.
The article discusses how AI digital twins are used in beauty manufacturing to optimize processes and accelerate product development. They enable modeling of formulations and production lines, reducing costs and time to market.
The article discusses the concept of a civic digital twin using an Italian city as an example. It emphasizes that data and models must be accompanied by democratic processes, otherwise they lose meaning. Issues of transparency and citizen participation are considered.
A digital twin of eco-trails has been launched at mountain resorts in the North Caucasus. It allows managing trail conditions and possibly their maintenance.
A digital twin platform based on two ecosystems, HarmonyOS and Ascend, has been launched to support the development of 'smart cities'. It integrates data and models to manage urban infrastructure.
Lux Modus, a pioneer in 3D digital twin capture for transit systems, continues to innovate and deliver results for leading transit agencies. Their solutions enable precise digitization of infrastructure for better management and maintenance.
In an interview, a representative from Weir discusses the application of AI and digital twins in the mining industry. He talks about how these technologies help optimize processes, improve safety, and efficiency. Few specific details are provided.
According to MarketsandMarkets, the digital twin in entertainment market will reach USD 2,533.2 million by 2032, growing at a CAGR of 31.4%. This indicates growing adoption of digital twins for virtual worlds and interactive content.
The article discusses the transition of South Africa's mining industry from simple equipment connectivity to intelligent systems using AI and data analytics to improve efficiency and safety.
Similar news about launching a digital twin of eco-trails at North Caucasus resorts. No different details.
