Human Activity Recognition (HAR) systems deployed on wearable and edge devices continuously collect sensitive user data, raising critical privacy concerns and communication bottlenecks. While Federated Learning (FL) mitigates these issues by decentralizing model training and keeping raw data on-device, deploying highly...
Mohammad Ariaeimehr· Zenodo (CERN European Organi...· 0 citations
This paper investigates the challenges and proposes a novel approach to distributed edge computing resource scheduling and optimization. The core claim is to design an efficient algorithm that dynamically allocates resources based on task requirements and edge computing node capabilities, ultimately enhancing computati...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
When the exact test is least exact, and the χ² default most wrong: achieved size, borrowed power, and a routing rule for R×C tables William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell, Lowell, MA, USA. ORCID 0009-0004-0855-7222. License: MIT for all code; CC BY...
William Dwyer· Zenodo (CERN European Organi...· 0 citations
🔗 This paper is accompanied by open-source software and a fully reproducible pipeline. Code and data-generation scripts are available at:https://github.com/ChristosTsirkas/corpus-validation-for-undeciphered-scripts-linear-aLicense: https://github.com/ChristosTsirkas/corpus-validation-for-undeciphered-scripts-linear-a/...
Chris Tsirkas· Zenodo (CERN European Organi...· 0 citations
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This paper presents an ADL recommendation system based on a Vision Language Model (VLM), which runs locally, describes the objects in the scene, and recommends different ADLs based on the objects in the scene and the capabilities of the robotic system.
David Martínez-Pascual, Asier Reig Lozano, E. Peral-Sempere et al.· Jornadas de Automática· 0 citations
A geometrically informed conditional Generative Adversarial Network (cGAN) is implemented through the Pix2Pix framework, to predict layer-wise geometric deviations in LPBF-printed parts with overhang geometries, using paired two-dimensional Computer-Aided Design (2D CAD) slices and corresponding X-ray Computed Tomograp...
Himal Sapkota, Prateek Neupane, E. Mehrdad et al.· Journal of Manufacturing and...· 0 citations
Experiments demonstrate that CAFDIM effectively suppresses sparse-view artifacts, preserves anatomical structures, and achieves superior reconstruction accuracy, visual quality, and generalization ability compared with state-of-the-art methods.
Ji-Zhong Duan, Cheng-Hong Sun, Hai-Bo Tao et al.· Physics in Medicine and Biol...· 0 citations
sys is presented, a content-aware hierarchical scheduler that screens constellation-wide options to retain a bounded candidate set, then refines each candidate into a complete token compression and layer offloading trajectory using quality prediction and joint planning and balances per-task latency, energy, and quality...
Yan Chen, Yun-Xiang Zhang, Guan-Jun Jiang et al.· 1 citation
CHARTER — Certification and History Architecture for Robust Transport, Evidence, and Retention — studies exact Eisenstein norm shells and the extra structure required to orient, compare, certify, carry, and intentionally release them without confusing mathematical equality with evidentiary or physical equivalence. The...
Christopher D. Pang· Zenodo (CERN European Organi...· 0 citations
This paper investigates the application of quantum walks to network security analysis, specifically focusing on graph traversal algorithms for anomaly detection and vulnerability assessment. Traditional graph traversal methods often struggle with the complexity of large and dynamic network topologies. Quantum walks, le...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence is dismantling the long‑standing computational bottlenecks of Earth system modeling. Traditional numerical weather prediction (NWP)—rooted in Navier‑Stokes discretization and dependent on exascale supercomputers—faces scaling limits that make sub‑kilometer global resolution prohibitively expensi...
Hunter Hughes· Zenodo (CERN European Organi...· 0 citations
This record freezes the analytical architecture for CP-H1-SRC-XSC-001, the next load-bearing source-sector programme of the theory-neutral 6D-to-3D Cut-and-Project / Incidence-Spectral research programme. CP-H1-SRC-XSC-001 follows the completed CP-H1-CONT-BRIDGE-001 common-space comparison programme. The authoritative...
Marcel Krüger· 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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