digital twin
PulseAugur coverage of digital twin — every cluster mentioning digital twin across labs, papers, and developer communities, ranked by signal.
- instance of CatalyzeX Code Finder for Papers 90%
- used by deep reinforcement learning 80%
- uses deep reinforcement learning 80%
- used by 6G 80%
- instance of alphaXiv 70%
- instance of ScienceCast 70%
- instance of Gotit.pub 70%
- used by alphaXiv 70%
- used by CatalyzeX 70%
- instance of CatalyzeX 70%
- used by Gotit.pub 70%
- used by Open Radio Access Network 70%
7 day(s) with sentiment data
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New framework GenOR-Twin integrates LLMs with mathematical optimization
Researchers have introduced GenOR-Twin, a novel neuro-symbolic framework designed to bridge the gap between unstructured operational data and mathematical optimization. This system utilizes large language models as sema…
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New framework "Speak to the City" uses gaze and language to identify vehicle landmarks
Researchers have developed a new framework called "Speak to the City" to improve how passengers in vehicles query physical landmarks. This system fuses user gaze with natural language to identify Points of Interest, add…
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LLM Digital Twins: Can AI Reduce Human Measurement in Research?
A new research paper explores the potential of LLM-based digital twins to reduce the need for human data collection in scientific inference. The study introduces 'statistical substitutability' as a criterion to evaluate…
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New architecture proposed for Cognitive Digital Twins with self-evolving capabilities
Researchers have proposed a novel four-layer architecture for Cognitive Digital Twins (CDTs) that moves beyond simple state synchronization towards knowledge-driven operations. This architecture integrates cognitive cap…
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AI automates Cognitive Digital Twin commissioning for manufacturing
A new research paper introduces an AI-driven workflow to automate the creation and debugging of Cognitive Digital Twins (CDTs) for reconfigurable manufacturing. The system employs LangGraph as a multi-agent orchestratio…
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New active learning framework enhances ROMs with Bayesian operator inference
Researchers have developed a new active learning framework designed to improve data-driven reduced-order models (ROMs) for parametric dynamical systems. This framework uses Bayesian operator inference, framed as Bayesia…
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AI agents not yet ready for behavioral research, study finds
A recent study indicates that AI agents are not yet capable of fully replacing human participants in behavioral research. The research found that digital twins, which are virtual representations of individuals, currentl…
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Aerospace, defense, and manufacturing sectors face data challenges hindering digital transformation
In the aerospace, defense, and industrial manufacturing sectors, achieving true digital continuity is hampered by data that is not business-ready. Companies are investing in advanced technologies like AI and digital twi…
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AI embodied in digital twin clinics for healthcare evaluation
Researchers have developed a method to transform routine clinic images into operational digital twins for evaluating embodied AI. By converting 39 ophthalmic clinic scenes from single photographs into simulator-ready en…
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LLM digital twins improve with structured persona data, not just volume
Researchers have developed a new method for creating more accurate LLM-based digital twins by focusing on the structure of persona information rather than just the volume of data. They introduced a hand-crafted schema (…
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AI leak diagnosis in water networks gains accountability via verifiable abstention
A new research paper introduces a method for improving the accountability of AI systems used in diagnosing leaks in water distribution networks. The approach frames leak localization as a decision-making process that in…
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Digital Twin IDS Detects Stealthy CAN Bus Attacks in Vehicles
Researchers have developed a novel digital twin-based intrusion detection system (IDS) for vehicle powertrain CAN bus systems. This system models the physical relationships between powertrain signals to predict behavior…
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Diffusion Models enhance UAV decision-making with RL and Digital Twins
A new research paper explores the integration of Diffusion Models (DMs) with Reinforcement Learning (RL) and Digital Twin (DT) technologies to enhance the capabilities of uncrewed aerial vehicles (UAVs). The paper addre…
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Digital twin degradation signals cyber-physical attacks, researchers find
Researchers have developed a new framework to detect cyber-physical attacks by monitoring temporal inconsistencies in digital twins. This method trains a digital twin predictor on normal system behavior and then analyze…
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AI framework optimizes urban wireless base station deployment using digital twins
Researchers have developed a novel framework for optimizing the placement of base stations in urban wireless networks. This approach utilizes a geographic data-informed digital twin combined with deep reinforcement lear…
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Digital Twin IDS Detects Stealthy CAN Bus Attacks in Vehicles
Researchers have developed a novel intrusion detection system (IDS) for vehicle Controller Area Network (CAN) bus systems that utilizes digital twins (DTs) to model physical relationships among powertrain signals. This …
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AI simulation field proposed to be named "Psychohistory"
A proposal has been made to name the field of AI-driven simulations of digital twins, synthetic users, and large-group behavior prediction as "Psychohistory." This suggestion aims to establish a unified term for this em…
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Quest Global drives digital transformation with AI and engineering focus
Quest Global is enabling digital transformation through a combination of software, embedded systems, automation, and AI expertise. The company emphasizes that true digital transformation begins with robust engineering a…
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AI advancements outpace governance, demanding a shift to continuous intelligence
Governance frameworks are struggling to keep pace with rapid technological advancements like AI, leading to a disconnect between compliance and operational reality. Ramachander Rao Thallada, a GRC Executive at Manulife,…
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AI, Digital Twins, and FAIR Data Converge at Florence Heritage Conference
The "Digital Ecosystems for Heritage 4.0" conference in Florence convened experts to discuss the integration of AI, digital twins, FAIR data, and knowledge graphs. The event focused on critical issues such as trust, acc…