AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,370 papers
Spintronics has emerged as a new frontier that unlocks the possibilities beyond charge-based electronics by exploiting both charge and spin of the electron. The realization of spintronic functionalities depends upon the design and optimization of spintronic materials. This comprehensive review critically analyses the...
Cleaned OpenStreetMap-derived walk, bike, and car networks for Switzerland (plus a cross-border buffer for realistic frontier-cell routing), with per-edge calibrated travel durations. These are the networks used to compute the companion accessibility metrics dataset: https://doi.org/10.5281/zenodo.21410968. Contents 1)...
Induced matchings are a fundamental graph-theoretic concept with applications in secure communication, network flow, and very-large-scale integration. An induced matching in a graph is a set of pairwise non-adjacent edges such that no edge of the graph joins the endpoints of two distinct edges in the set. A maximum ind...
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FINDING: Topological insulators exhibit bulk-edge correspondence — the interior is insulating while the boundary conducts — governed by a topological invariant (Chern number or Z₂ index), with disorder-driven metal-TI transitions showing critical exponent ν ≈ 2.7. | MATH: Bulk-edge correspondence: σ_xy = (e²/h)·C, wher...
guv-calcs is an open-source Python scientific computing library for physically based modeling of germicidal ultraviolet (GUV) light in indoor environments, with a focus on far-UVC (200–235 nm) applications. The library provides core numerical tools for representing lamps, spatial geometry, calculation planes and volume...
Edge Devices, die in abgelegenen Orten eingesetzt werden, sind zunehmend auf Strom aus erneuerbaren Energien angewiesen, um die lokalen Berechnungen und das Training von KI-Modellen aufrechtzuerhalten. Die durch Energy Harvesting gewonnene Energie ist jedoch von Natur aus unzuverlässig, weshalb die Ausführung von KI-Mo...
📝 Project Description The Bio-Fluidic-Mechatronic Cross-Disciplinary Lattice (BFM-CDL) is an advanced open-source medical architecture that expands the foundational neuro-oncology principles of the Zenodo baseline paper (DOI: 10.5281/zenodo.23151588) into a universal, closed-loop treatment framework. By treating targe...
Version 1.0 of this record claimed that the octahedral-void network of the BCC Planck foam has nearest-neighbour spacing shorter than the bubble spacing, and that voids therefore propagate at c_V = c√(3/2) ≈ 1.22c, supplying a finite-speed mechanism for Bell non-locality. That result is withdrawn. Two errors are identi...
This paper presents a quantum morphological Haar wavelet transform (QMHWT) that integrates the morphological minimum operator into the low-frequency subband of the Haar wavelet, unifying nonlinear morphological processing with multi-directional wavelet decomposition in a quantum arithmetic circuit framework. For a 2...
Single-file DuckDB table of 206,214 crystallographic PDB entries. This is a new version of 10.5281/zenodo.22986222. Same entries and the same RCSB source. This file adds the sorted linear search key, in columns l0–l5, and a schema_meta table (schema_version = 2, search_key = sorted_linear_key). The deposited cells, spa...
This deposit contains the raw measurement data, result figures, and evaluationscript behind the evaluation chapter of the Master's thesis "Addressing Edge-CloudMicroservices SLOs with Scalable Theodolite Across Multiple Kubernetes Clusters"(Ravish Kumar, Kiel University, 2026). The study benchmarks a collaborative edge...
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work and cyber defense, rolling out soon.
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