The intersection of Big Data Analytics and Industrial Internet of Things (IIoT) introduces a transformative potential to improve operational efficiency, predictive maintenance, and decision-making in smart industrial systems. But such methods rarely deployed in practice, are not interoperable, and are not scalable. Thi...
C. Madana Kumar Reddy, Smita Gambhire, Manoj Kumar et al.· Advanced Transportation Syst...· 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
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
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...
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
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
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
Global digitalization has established data centers as critical infrastructure, yet their energy consumption is increasing disproportionately, posing significant sustainability challenges. The absence of physical measurement sensors in virtualized servers has driven the adoption of software-based predictive models. This...
Jaime David Camacho Castillo, Joel Geovanny Bonifaz Mendoza, Juan Sebastián Montesdeoca Guzñay et al.· Tesla Revista Científica· 0 citations
First public release. cellcheck reads the lattice parameters of a crystal structure and reports whether its unit cell satisfies the minimum-image convention for a given interaction cutoff, and if not, along which axis and by how much. What it does Computes true perpendicular widths (V / |a_j × a_k|), not edge lengths....
Adam H. Turner· Zenodo (CERN European Organi...· 0 citations
CK Vision's 13MP MIPI CSI camera modules represent the pinnacle of high-resolution embedded imaging, combining optoelectronic precision with flexible hardware interfaces. Engineered to meet the technical excellence demanded by the ever-evolving field of machine vision, our 13.2 mp mipi camera module portfolio delivers...
chenkun· Zenodo (CERN European Organi...· 0 citations
First public release. cellcheck reads the lattice parameters of a crystal structure and reports whether its unit cell satisfies the minimum-image convention for a given interaction cutoff, and if not, along which axis and by how much. What it does Computes true perpendicular widths (V / |a_j × a_k|), not edge lengths....
Adam H. Turner· Zenodo (CERN European Organi...· 0 citations
Smart manufacturing is undergoing a transformation due to the development of Generative Artificial Intelligence (GenAI), which introduces a new level of autonomy and data-driven decision-making in industrial settings. Unlike conventional prediction and classification type AI, GenAI can also be applied to develop optimi...
E. Fischer, Viktor Gulyás-Oldal, I. Gálóczi et al.· Veredas do Direito· 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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