This study develops a defense-oriented framework for tactical edge-to-military data center workload migration for resilient c5i operations under d-dil conditions within an integrated military C5I environment. The research addresses the engineering problem of maintaining mission information advantage when physical infra...
M. Rizwan Yasin· Zenodo (CERN European Organi...· 0 citations
Paper I of the Guarino Infrastructure Dependency Metric (GIDM). First revision, 20 September 2026. DOI 10.5281/zenodo.22864280. Infrastructure fails in chains. The February 2021 freeze in Texas began at frozen wellheads, ran through load-shed gas processing plants, took 61,800 MW of generation offline, and ended in boi...
Brian Guarino· Zenodo (CERN European Organi...· 0 citations
This study examines real-time monitoring and automatic management of passenger flow on metropolitan escalators using artificial intelligence and computer vision technologies. The aim is to develop the conceptual foundations of an automatic hazard detection system based on deep learning algorithms (CNN, YOLO, transforme...
Humoyun Pardaboyev, Bakhodir Zaripov· Zenodo (CERN European Organi...· 0 citations
For four decades, deep artificial neural networks have relied on continuous vector spaces, dense floating-point General Matrix Multiplications (GEMM: hl+1 = σ(Wlhl + bl)), and gradient-based backpropagation. While effective in data centers, this paradigm incurs severe thermodynamic, memory bandwidth, and numerical stab...
A. Emre Cetin· Zenodo (CERN European Organi...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
This paper develops the next foundational layer of the AASC formalism: the exact structure of admissibility once non-degenerate determinate construction has already incurred the kernel roles of Admissibility, Standing, Reference, and Irreversibility. Its central contribution is to distinguish three questions that are o...
Amos Jay Maley· Zenodo (CERN European Organi...· 0 citations
The common refinement of the icosahedral edge shell and its Galois shadow (the great-icosahedron chords) on the sphere is computed exactly: each visible edge crosses exactly one shadow edge, the shadow edges cross each other twenty times, and the refined sphere is the barycentric subdivision of the icosahedron — $V=62$...
Arber Gishto· Zenodo (CERN European Organi...· 2 citations
Integration of Internet of Things (IoT) and Edge Computing (EC) presents significant challenges, particularly in guaranteeing secure communication amid IoT devices and cloud systems formerly to data aggregation. Existing aggregation schemes often compromise on cost-effectiveness while struggling to preserve data integr...
R. T. Rajappa, P. S. Periyasamy, K. K. Kanagasabai· Peer-to-Peer Networking and...· 0 citations
The Internet of Things (IoT) is expected to reach up to 41 billion connected devices by 2030, driving a shift from centralised cloud computing toward edge computing, in which sensing, processing, and decision-making are performed closer to the data source. This shift reduces latency, bandwidth usage, and dependence on...
Tracing every edge and visiting every vertex are taken to be two forms of one problem. This paper shows that adding one and the same edge destroys only one of them──one has a certificate at each vertex and the other has none. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is c...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
The proposed PINN introduces a specialized physical loss coupling thermochemical energy balances with adsorption kinetics, driven by instantaneous edge inputs for direct SOC tracking, and demonstrates higher predictive accuracy than the conventional NN across all key outputs, relative to a high-fidelity white-box dynam...
Mustapha Habib, V. Palomba, M. Gado et al.· Energy and Buildings· 0 citations
Aims: This study develops a dynamic explanation for the gap between task-level artificial intelligence productivity and durable enterprise value. It introduces verification debt, the accumulated stock of unverified assumptions, weak review, concealed dependencies, deferred validation, and capability loss.
Study Design:...
Kwan-Hong Tan· Journal of global economics,...· 4 citations
In edge computing scenarios such as unmanned aerial vehicle (UAV) patrol and vehicular perception, moving object extraction is highly susceptible to failure under low-light, inclement weather, and low-framerate conditions because of constrained sensor signal-to-noise ratio (SNR) and environmental interference. Existing...
Ru-Jing Ai, Jing-Hao Dai, Li-Yun Zhang et al.· Global Intelligent Industry...· 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
