This record provides Rigorous Consolidated Core v2.8.0 of the Cut-and-Project / Incidence-Spectral Mathematical Core, with the Helix–Light–Vortex (HLV) framework retained as an active falsifiable testbed-theory instantiation under explicit claim boundaries. Version 2.8.0 integrates the completed CP-H1-FORM-MOSCO-001 th...
Marcel Krüger· Zenodo (CERN European Organi...· 0 citations
Multi-tenant Software-as-a-Service (SaaS) platforms rely on webhook change notifications from cloud APIs such as Microsoft Graph to synchronize calendar and resource-booking data in near-real time. Empirical analysis reveals a structural failure in this model, which we term webhook event amplification: a single state m...
Aayush Pandey· Zenodo (CERN European Organi...· 0 citations
PURPOSE
Mitral stenosis (MS) remains diagnostically challenging, particularly in degenerative disease, where echocardiographic parameters are often unreliable. Computed tomography (CT) planimetry has been validated for other valvular diseases, but is not established for MS. This study evaluated the feasibility and diag...
P. Steinhoff, Ramona Schmitt, D. Hazard et al.· The International Journal of...· 0 citations
Mandelbrot Fractal Neural Synthesis: Zero-Storage Procedural Weight Derivation and Non-Linear Decision Boundaries What's New in Version 2.0 (Major Revision & Q1 Readiness) Systems Trade-Off Framing: Reframed the central research question from raw parameter fitting to fundamental systems architecture: trading determinis...
This dataset contains high‑resolution measurements of solar irradiance and ambient temperature collected on roof (horizontal plane, I1/T1) and facade (vertical plane, I2/T2) surfaces of an urban university building in Medellín, Colombia. The monitoring system was implemented using an edge computing device that enabled...
Bonie Restrepo, Jhon Montano, Juan David Navarro Restrepo et al.· Mendeley Data· 0 citations
This code-only package accompanies the manuscript “Federated Edge Learning over Optical-UAV Access Links With Deterministic-Payload Compression and Packetized Scheduling.”The software implements static mixed-resolution compression with error feedback (SMR-EF) and PacketFair scheduling for simulated federated learning o...
The project bridges traditional static code analysis (Object-Oriented metrics) with advanced embedding representation learning to predict refactoring interventions on code-smelly methods. The predictive framework models a supervised binary classification task across 10 distinct target refactoring operations. Data Sourc...
Andrea Lanza, Matteo Bochicchio, Francesca Arcelli Fontana· Zenodo (CERN European Organi...· 0 citations
Technology ecosystems often reward whichever firm first controls a tightly held physical or infrastructural asset -the "anchor" -because that control reduces uncertainty, sets de facto standards, and buys market access for a higher-margin software, service, or workflow layer -the "expansion."Existing strategy research...
Edge computing has gained significant traction in recent years, promising enhanced efficiency by integrating artificial intelligence capabilities at the edge. While the focus has primarily been on the deployment and inference of Machine Learning (ML) models at the edge, the training aspect remains less explored. This s...
Aymen Rayane Khouas, Mohamed Reda Bouadjenek, Hakim Hacid et al.· ACM Transactions on Intellig...· 8 citations
The analysis emphasizes the value of oversight by humans, transparency, accountability, protection of privacy, fair treatment, documentation, local validation, auditing, and compliance with regulations in the context of high-impact applications in the context of high-impact applications.
Al Akhir· Journal of Computer Science...· 0 citations
Advances in smart and intelligent unmanned systems: innovations, applications and future directionsThis special issue focuses on state-of-the-art research in intelligent unmanned systems across aerial, marine, and edge computing technologies.The selected manuscripts outline cohesive advancements in autonomous technolog...
Deepak B. B. V. L.· International Journal of Int...· 0 citations
Continuous Monitoring of animals is hard when the people who take care of them are not around.Changes in how they are eaten, how much they drink, the way they stand and what they do during the day can show if their health is changing or if their normal routine is different.This paper talks about an Edge AI-based Smart...
Vinit Masale, Suyog Mamankar, Prathamesh Sawant et al.· International Journal of Inn...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
