Operator Saturation, Grounded Authority, and Conservative Construction This paper establishes the operator-level closure theorem for same-scope admissibility-bearing construction. Its central question is whether a proposed operation can acquire new authority over an unchanged original object, question, occurrence, admi...
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...· 0 citations
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Real-time estimation of full unsteady aerodynamic flow fields $\mathbf{u}(\mathbf{x}, t) = (u, v)$ from ultra-sparse discrete sensor observations (e.g., $M \le 10$ point velocity probes across thousands of grid cells) is a foundational challenge in active flow control, wind tunnel telemetry, and unmanned aerial vehicle...
A. Emre Cetin· Zenodo (CERN European Organi...· 0 citations
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
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
Praktisch nutzbare Künstliche Intelligenz entstand aus dem Bündnis kluger Köpfe mit den rechentechnischen Fähigkeiten Boolescher Automaten – natürliche Intelligenz dagegen aus Selbstorganisation und Evolution. Dieser zweite Weg rückt mit dem neuromorphen Rechnen zunehmend wieder in das Blickfeld von Wissenschaft und Pr...
Volker Kempe· 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
Centralized cloud architectures increasingly struggle to meet the latency, data-sovereignty, and bandwidth demands of industrial AI workloads. This paper presents Hybrid Edge AI Node, a distributed processing architecture that unifies six previously separate research threads — hierarchical edge orchestration, hierarchi...
JAKKRIT BOONMA· 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
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