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.
261 items
arXiv:2607.01356v2 Announce Type: replace-cross Abstract: Cyber-physical systems (CPSs) can be compromised through memory corruption vulnerabilities, which can result in safety violations.
arXiv:2603.25959v2 Announce Type: replace Abstract: Human and animal brains perform planning to enable complex movements and behaviors, a process that can be effectively described using model predictive control (MPC).
Palantir Technologies (NasdaqGS:PLTR) объявила о новых глобальных альянсах с Fujitsu, NVIDIA, Method Security и Nebius. Соглашения направлены на расширение использования софта Palantir в международном производстве, цепочках поставок ИИ, кибербезопасности и суверенной облачной инфраструктуре.
Manipulating objects requires understanding not only their motion, but also the physical properties that determine it. For articulated objects, these include inertia, friction, and mechanisms such as springs or door closers, whose effects can vary with configuration and velocity.
Residential heating accounts for a large share of building energy use, and predictive control strategies can reduce it by anticipating rather than reacting to the room temperature alone.
Компания «Актив» завершила работу над итоговым документом по результатам форсайт-сессии «Будущее безопасности киберфизических систем в России. Перспективы и векторы развития», которая прошла в Москве в марте 2025 года.
Спецпредставитель президента РФ отметил, что Алексей Карп "все-таки подстригся, как и советовали", и теперь ему "осталось лишь пить побольше травяного чая и поменьше рекламировать свой Skynet"
На этой неделе акции Palantir Technologies (Nasdaq: PLTR) и Rocket Lab Corporation (Nasdaq: RKLB) стали лидерами роста в рейтинге Roundtable 100. Palantir поднялся на 30 позиций — до 33-го места, а Rocket Lab — на 34 позиции, до 45-го. Рейтинг публикуется совместно с TheStreet.
Сеть ресторанов быстрого питания Chipotle нанимает компанию Palantir, известную связями с ЦРУ, для создания системы оценки рисков безопасности продуктов. Как пишет Wired, Chipotle пилотирует «Платформу управления рисками безопасности пищевых продуктов» на базе Foundry — основного программного…
«Группа Астра» объявляет о коммерческом релизе AMAIA (Astra Monitoring AI Agents) — агентного ИИ-слоя платформы «Астра Мониторинг»....
arXiv:2609.17622v1 Announce Type: new Abstract: Population-level heterogeneities, combined with temporal fluctuations in sexual partnerships, shape the structure of sexual contact networks and can substantially influence the spread of sexually transmitted infections (STIs).
arXiv:2609.17697v1 Announce Type: cross Abstract: Integrated deep reinforcement learning (DRL) and model predictive control (MPC) methods are increasingly used to control autonomous systems by combining their complementary capabilities.
arXiv:2511.02114v2 Announce Type: replace Abstract: We propose a Model Predictive Control (MPC) formulation for nonlinear systems without terminal penalty or dedicated stabilizing terminal set, in which state constraints are enforced heterogeneously along the prediction horizon.
Modern networks must support changing topologies, configurations, and performance objectives, motivating fast and reliable performance estimation. Network digital twins (NDTs) enable what-if analysis for performance estimation in such network scenarios, however, existing machine learning-based NDT…
arXiv:2508.15953v1 Announce Type: cross Abstract: The vertical alignment optimization problem in road design seeks the optimal vertical alignment of a road at minimal cost, taking into account earthwork while meeting all safety and design requirements.
Совместное предприятие Selectel и ИТМО «Эмерджентные мультиангентные системы» занимается технологиями для создания и эксплуатации мультиагентных систем: не столько созданием ещё одного отдельного ИИ-ассистента, сколько тем, как сделать эксплуатацию большого количества агентов управляемой, надежной…
Digital Twins (DTs) are widely adopted across a variety of application domains. In industrial sectors, particularly in mechanical engineering, they accelerate product development, reduce risks, enable early issue prediction, and lower sustainment costs .
The purpose of this paper is the identification of high-fidelity digital twin data models from numerical code outputs by non-intrusive techniques (i.e., not requiring Galerkin projection of the governing equations onto the reduced modes basis).
City pedestrian counting systems now feed economic indicators, planning decisions and safety operations, yet the twins built on top of them treat the incoming stream as ground truth. We study what happens when it is not.
arXiv:2410.18145v2 Announce Type: replace Abstract: We propose a minimal model of the secured interbank network able to shed light on recent money markets puzzles. We find that excess liquidity emerges due to the interactions between the reserves and liquidity ratio constraints; the appearance of…
arXiv:2609.13247v1 Announce Type: new Abstract: Calibrating an agent-based model (ABM) is difficult because its objective landscape is stochastic and rugged, and can be evaluated only through costly black-box simulations.
arXiv:2609.14192v1 Announce Type: cross Abstract: Extremum seeking control (ESC) relies on deliberately injected excitation to extract optimization information from measured outputs, making its networked implementation particularly vulnerable to denial-of-service (DoS) attacks.
arXiv:2609.15197v1 Announce Type: new Abstract: This letter proposes a formal synthesis of Robust Koopman-Model Predictive Control (RK-MPC), a novel data-driven approach to formal synthesis of systems with nonlinear dynamics.
arXiv:2609.15623v1 Announce Type: new Abstract: Learning Model Predictive Control (LMPC) improves iterative control tasks by using previous executions to construct the terminal constraint and terminal cost of the MPC problem.
