With the rapid development of the Internet of Things, computation intensive directed acyclic graph (DAG) tasks have become increasingly common in cloud-edge-end collaborative environments. However, cloud, edge, and end nodes are highly heterogeneous in computing capacity, network bandwidth, and energy consumption, whic...
Yan Qi, Chen-Wei Wang, Zi-Han Shen et al.· 0 citations
This project reports on the ongoing project to develop a computational pipeline, AutoGraphForge, for an automated graph-theoretic conjecturing-refuting-formalizing-proving system, and reports on the conjectures that survived the refutation dataset, the novelty filter and every active-search run.
This manuscript presents the RAPS Dome as a distributed, passive, multimodal sensor-fusion architecture for edge-networked monitoring and Bayesian decision support. The system extends the earlier Sensor Dome concept by combining distributed acoustic sensing (DAS), acoustic and infrasound arrays, encapsulated heterodyne...
Marcel Krüger, Don Feeney, Jacobo Rodríguez· Zenodo (CERN European Organi...· 0 citations
This paper presents a novel quantum computation algorithm based on graph theory, aiming to simplify quantum computations by leveraging graph structure characteristics. Traditional quantum computing often struggles with efficiently utilizing graph structures, leading to complex algorithms. Our approach transforms the co...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
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This paper explores the application of topological information to quantum computation, focusing on the evolution of quantum states through topological structures. The core claim is to design an algorithm that simulates the topological evolution of quantum states, allowing for predictive analysis of future quantum compu...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
This chapter examines three technology families that have drawn attention from supply chain researchers and practitioners: blockchain, augmented and virtual reality (AR/VR), and edge computing. The argument is not simply that each yields operational benefits, but that their significance lies in addressing complementary...
Ashish Gupta, Ergashev Nuriddin Gayratovich, Begimov Uktam et al.· Advances in computational in...· 0 citations
A self-contained browser-based laboratory activity built around a hydrostatic transmission. A prime mover drives a fixed-displacement pump, the pump drives a fixed-displacement hydraulic motor through a hose, and an eddy-current brake absorbs the motor's output. Both machines are carried on trunnions with a torque arm...
A. Bulent Koc· Zenodo (CERN European Organi...· 0 citations
This technical report introduces a cloud-native architecture designed to implement the Cognitive Edge Emergence Model (CEEM). Traditional language model generation relies heavily on generic associations and external valence inferences. In contrast, this architecture establishes an individual-specific, self-reinforcing...
Takahiro Ikeda· Zenodo (CERN European Organi...· 0 citations
Why Fisher's exact test is least exact where it matters most: achieved size, wasted power, and a routing rule for 2×2 tables William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the latest version): 10....
William Dwyer· Zenodo (CERN European Organi...· 0 citations
FINDING: Selmer group ranks in quadratic twist families of elliptic curves are governed by symplectic root system symmetries, with mod-2 torsion modules exhibiting congruence structures tied to Weyl group actions. | MATH: 2-Selmer rank parity in quadratic twists \(E^{(d)}: dy^2 = x^3 + ax + b\) — the parity conjecture...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
Macromolecular structure prediction remains limited by the $O(N^2)$ scaling of non-bonded interaction evaluations and the absence of strict physical boundary conditions in purely statistical deep-learning models. In the published SARS-CoV-2 spike glycoprotein protomer model (AF-P0DTC2), sequential $C\alpha$ distances r...
Robert Weber· Zenodo (CERN European Organi...· 0 citations
STREAM-BSG maintains an incremental buyer-supplier graph in a streaming state store and computes a 49-dimensional feature vector online - 15 node, 18 edge, 14 subgraph, and 2 current-row change-detection features - before classification with XGBoost. It targets business-to-business payment fraud rather than the busines...
Abhishek Sharma· 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.
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