Six-player Canadian Fish is a decentralised imperfect-information team game in which every action is public, so the hidden state reduces to the initial deal and the posterior over that deal can be computed exactly. We develop and evaluate SESTINA v1.0, the strongest configuration produced in this project’s FishBot line...
Dylan Nguyen· Zenodo (CERN European Organi...· 0 citations
Industrial Internet Technology Application and Practice is compiled by the team of experts from Wenzhou Vocational Secondary School and fully meets the vocational talent training requirements of modern industries, laying a solid foundation for cultivating versatile and innovative technical talents in the era of Industr...
Li jiang, Wu Jie, Bailang Wang· Figshare· 0 citations
A low-cost, vision-based robotic manipulation framework designed for intelligent IIoT-enabled production lines is presented in this research. To achieve reliable performance under various industrial settings, the proposed system presents an edge-aware perception pipeline that combines calibration-aware localization, mo...
Chenxu Duan, Ya Wang, Luwen Wang et al.· Scientific Reports· 0 citations
This paper investigates the protection of quantum entanglement states through topological principles. The core claim is that embedding entangled states within systems exhibiting non-trivial topological properties can lead to enhanced long-term fidelity. The fundamental mechanism involves leveraging the topological robu...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
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This paper presents the architectural blueprint of the OMEGA INFINITY KAORU processor, a computing substrate that solves the Boolean circuit satisfiability problem (Circuit-SAT)---the canonical NP-complete problem---in practical constant time, in strictly literal $O(\log n)$ time, and in $O(n)$ space. The architecture...
Kaoru Aguilera Katayama· Zenodo (CERN European Organi...· 0 citations
This paper introduces a novel approach to computation security leveraging the principles of spectral theory. Traditional computational security relies heavily on cryptographic methods, which are increasingly vulnerable to advancements in computing power and algorithmic attacks. We propose a framework that abstracts com...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Digital transformation is increasingly reshaping infrastructure systems by integrating connected technologies, intelligent decision-making, automated processes, and sustainable resource management. However, the rapid expansion of digital infrastructure has also introduced challenges related to cybersecurity, privacy, i...
M. Jena, Om Krishna Jena· International Journal of Cre...· 0 citations
Abstract The integration of Internet of Things (IoT) and Digital Twin (DT) technologies provides a transformative paradigm for intelligent monitoring and predictive maintenance in industrial environments. Traditional environmental control systems rely on reactive architectures, leading to potential equipment failure be...
Hayatullah Abdulwahab· Zenodo (CERN European Organi...· 0 citations
Multi-tenant Software-as-a-Service (SaaS) platforms rely on webhook change notifications from cloud APIs such as Microsoft Graph to synchronize calendar and resource-booking data in near-real time. Empirical analysis reveals a structural failure in this model, which we term webhook event amplification: a single state m...
Aayush Pandey· Zenodo (CERN European Organi...· 0 citations
We introduce the Cognitive Integrity Score (CIS), an operational, real-time topological health diagnostic for deterministic simplicial associative memory networks. In parallel with significant advances in uncertainty quantification, semantic entropy, process-supervised verification, and metacognitive reinforcement lear...
Casey Lee Race, Inc. Calera Computing· Zenodo (CERN European Organi...· 0 citations
This paper proposes a novel approach to computing, termed Dynamic Semantic Network Neuro-Morphic Computing, which leverages the principles of biological neural networks to achieve parallel, adaptive learning, and reasoning for complex data structures. The core idea is to mimic the dynamic connectivity and synaptic plas...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
The computing continuum extends computation beyond centralized cloud data centers to edge resources, supporting applications with stringent Quality-of-Service (QoS) requirements. However, the heterogeneity and dynamic nature of edge environments make orchestration challenging, particularly when decisions rely on static...
Fernando Rego, José Eduardo Ferreira da Costa, Carlos Resende et al.· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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