Graph partitioning is a fundamental problem in various fields, including computer graphics, high-performance computing, and network design. Traditional graph partitioning algorithms often suffer from high computational complexity, particularly when dealing with large and complex graphs. This research investigates the p...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
FINDING: The Busy Beaver function BB(n) and the Church-Kleene ordinal ω₁^CK define the transfinite boundary of computability, where growth rates exceed all recursive functions and collapse into non-computable arithmetic truth. | MATH: BB(n) = max steps before halting among n-state Turing machines; BB(5) = 47,176,870 (r...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
Stable release for Windows. Includes all core EIS fitting features. What's New in v3.0.0 ZScope 2.x.x was a very good tool for fitting one spectrum. This release is about everything around that: understanding what your circuit is doing, controlling how it is fitted, deciding which circuit is right, and — the reason for...
Tecush, Tayebeh Sharifi· Zenodo (CERN European Organi...· 0 citations
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Climate tipping points—abrupt, potentially irreversible transitions in Earth subsystems such as the Atlantic Meridional Overturning Circulation (AMOC)— represent one of the most consequential risks in climate science. Existing early-warning indicators based on critical slowing down (rising variance and autocorrelation)...
Christopher K. Merrill· Zenodo (CERN European Organi...· 0 citations
This article presents the design of a vision-based line-following control strategy for an omnidirectional mobile robot operating on surfaces marked by lines. The proposed approach combines computer vision techniques with a Mamdani-type fuzzy controller to generate motion commands directly from visual feedback. Image ac...
Jacinto González-Aguilar, Oscar Castillo, Prometeo Cortés-Antonio· International Journal of Com...· 0 citations
AERF is a modular research framework for governed evaluation of predictive-maintenance models across classification, regression, remaining-useful-life, and physical-edge execution routes. The capsule provides the base framework, campaign executor, model adapters, dataset registry, physical-edge validation utilities, re...
Artificial intelligence is dismantling the long‑standing computational bottlenecks of Earth system modeling. Traditional numerical weather prediction (NWP)—rooted in Navier‑Stokes discretization and dependent on exascale supercomputers—faces scaling limits that make sub‑kilometer global resolution prohibitively expensi...
Hunter Hughes· Zenodo (CERN European Organi...· 0 citations
The simulation of quantum systems on classical computers faces significant challenges due to the exponential scaling of computational resources required to accurately represent quantum states and their evolution. This work proposes a novel approach to quantum computing simulation based on graph representation and graph...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Short takeaway: Mnemorphics is a mega‑document—a merged research codex—combining acoustic metamaterials, shockwave diodes, energy‑harvesting physics, AI cognitive‑warfare systems, particle‑capture engineering, and large‑scale defensive architecture. It reads like a fusion of hard engineering, corrected physical models,...
francis lee· Zenodo (CERN European Organi...· 0 citations
Short takeaway: Mnemorphics is a mega‑document—a merged research codex—combining acoustic metamaterials, shockwave diodes, energy‑harvesting physics, AI cognitive‑warfare systems, particle‑capture engineering, and large‑scale defensive architecture. It reads like a fusion of hard engineering, corrected physical models,...
francis lee· Zenodo (CERN European Organi...· 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
