Driven by the escalating global agricultural workforce shortage and the urgent need to meet the “Zero Hunger” mandate, the automation of harvest–transport workflows has emerged as a cornerstone of Agriculture 4.0. This paper highlights the latest research progress in multi-robot collaborative logistics scheduling acros...
Jun Zhang, Tian-Tian Jing, Zi-Qi Tian et al.· Italian National Conference...· 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
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
This study employs a Graph Neural Network (GNN) to identify predictive associations between channel integration structures and brand equity, with a particular focus on heterogeneous nodes and multi-relation edges in multichannel commercial data. A Multi-Relation Integrated Graph Neural Network (MRI-GNN) is developed by...
Haotian Xue, Jongbin Park· International Journal of Pat...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
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
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
⚠️ Important Notices Windows Smart App Control: On newer Windows machines, Smart App Control may prevent Serial Studio from running because the binaries are not code-signed yet. Either install from the Microsoft Store, or turn off Smart App Control (Windows Security → App & browser control → Smart App Control settings)...
Alex Spataru, Alison de Oliveira Tristão, Andrew Salinas et al.· Zenodo (CERN European Organi...· 0 citations
CP-H1-INT-001 v0.1.0 presents a theory-neutral analytical and deterministic audit of a necessary condition for an integral-cohomology or flux-quantization closure of the carrier-derived exterior-moment H1 line on the locked DG-001 6D-to-3D cut-and-project incidence complex. The primary locked finite source is: HLV-DG-0...
Marcel Krüger· Zenodo (CERN European Organi...· 0 citations
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
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
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.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
