Abstract - Cardiac arrhythmias remain a leading contributor to global cardiovascular mortality, and continuous monitoring outside the clinic has become central to early detection. This review examines the convergence of edge computing and the Internet of Things (IoT) in wearable electrocardiogram (ECG) systems for arrh...
Ravikiran B A, Chandana N E, Devika Nataraj et al.· Zenodo (CERN European Organi...· 0 citations
Code and analysis outputs supporting the manuscript. Every quantity reported in the paper is drawn from the JSON files in analysis/, each produced by a script in scripts/. The study uses three kinds of data: the complete on-chain USDT histories of the 490 addresses named in Israeli counter-terrorism seizure orders and...
Physical reservoir computing (PRC) has attracted considerable attention as a low-training-cost framework for edge computing. In this study, we propose a PRC system that uses nonlinear heat conduction in an alumina ceramic plate. In the proposed system, the input information is applied as heat, and the transient tempera...
Yasuaki Ikeda, Seita Umemoto, Jun Hirotani et al.· AIP Publishing· 0 citations
Dense metric depth estimation from a single image is crucial for autonomous robotic navigation and spatial computing. However, recent foundation models increasingly rely on heavy vision transformers (>300 M parameters) and massive pre-training, making edge deployment on memory-constrained devices challenging. We presen...
Harryson Yumnam· Zenodo (CERN European Organi...· 0 citations
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العنوان التقني للنظام: نظام أتمتة المراقبة والاستطلاع الميداني الموزع القائم على المعالجة اللامركزية والذكاء الاصطناعي التكيفي (Decentralized Autonomous Field Surveillance and Reconnaissance Automation System Based on Edge Processing and Adaptive Artificial Intelligence) 1. ملخص النظام (System Abstract): تتمثل البنية ا...
Abuelgasim abayzeed elsmaney ahmed Ahmed· Zenodo (CERN European Organi...· 0 citations
A joint team from Algorithmiq and IBM Quantum has run a discrete-time quantum walk (DTQW) on complex networks drawn from protein-protein interaction (PPI) data, using 40 qubits of real quantum hardware. Rather than accept the extreme circuit depth demanded by conventional dense encodings, the researchers traded depth f...
inquantio· Zenodo (CERN European Organi...· 0 citations
zidstats 0.2.2 This performance release preserves the public API and statistical definitions of zidstats 0.2.1. Vectorizes the common no-tie RISE graph construction while retaining the label-invariant tie-averaged extension. Computes permutation within-sample sums in batches and reuses internally validated pair-weight...
Hao Chen· Zenodo (CERN European Organi...· 0 citations
Recent space missions such as have provided large-scale observations of the γ-Doradus instability strips (IS), which can be used to constrain models and explore their limitations. One persistent limitation is the prediction of the blue edge of the γ-Doradus IS, where a significant number of γ-Doradus stars are observed...
L. Fellay, M. Dupret· Astronomy & Astrophysics· 0 citations
The series identifies every Standard-Model interaction vertex with a Reidemeister move on knotted brane loops, and the path integral with a sum over Reidemeister sequences (Papers VIII, XII); the standing open item is the measure. This paper establishes the geometric half of a candidate answer; the physical half is sta...
Bharathi Jagadeesan· Zenodo (CERN European Organi...· 0 citations
In this paper we compute and analyze the geometrical and topological changes in quantum physics within the new framework of our recent work [APL Quantum 2, 016104 (2025)] on Classicalization. Thus, the results of our paper here are twofold: Topology, geometry and Classicalization and the relationship between them. With...
D. Cirilo-Lombardo, Norma G. Sanchez· International Journal of Geo...· 0 citations
Experiments show that CoSIPR improves service-category matching, request satisfaction, and the average number of accepted requests per instance, and reduces aggregate state-transfer cost and limits hotspot exposure while maintaining a controlled trade-off between end-to-end delay and state-transfer cost.
Meng-Xuan Dai, Xuan Chen, Ling Yang et al.· Symmetry· 0 citations
The results show that pipelined fixed-point FPGA architectures are a good solution to speed up the reinforcement learning process in resource-limited embedded systems.
Umamaheswari Ramalingam, N. S, K. Chan et al.· International Review of Appl...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
