AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,975 papers
Deprecated Python below 3.11 is compatibility, not support. The floor becomes 3.11 in 0.2.0 (3.10 reaches end of life in October 2026). Nothing changes within 0.1.x; CI keeps running on every version the package still declares. Fixed RetryPolicy.backoff_for no longer raises OverflowError past attempt ~1024. 2 ** attemp...
A Universal, Options-Free, One-Byte Market-State Primitive (v2 — with a hardened bond-volatility addendum) Randolph James Ferlic, M.D., and Kimberly Kate Ferlic (Fieldstone Analytics, LLC). Version 2, Zenodo, CC-BY 4.0. v1 DOI 10.5281/zenodo.22116173. Version 2 note. This version adds a short addendum that deepens the...
We reformulate the ER = EPR hypothesis within the Ontological Resolution Theory (ORT) framework. The central claim: ER (Einstein-Rosen bridge) and EPR (Einstein-Podolsky-Rosen entanglement) are not identical, as conjectured by Maldacena and Susskind, but stand in a proper inclusion: ER ⊂ EPR. The backend substrate cons...
The frequent occurrence of safety accidents on construction sites highlights the urgent need for intelligent Personal Protective Equipment (PPE) monitoring. However, existing deep learning solutions often rely on cloud computing, suffering from high latency, and are susceptible to false alarms in complex environments d...
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Emerging cyberinfrastructure (CI) testbeds offer research communities early access to novel computing architectures, but researchers often lack structured pathways for evaluating and adopting these technologies within their own workflows. ByteBoost 2.0, a National Science Foundation Cybertraining award led by the Pitts...
Near-infrared (NIR) imaging is essential for biological and materials sensing, yet high-performance NIR detectors are often cost-prohibitive and plagued by high dark current. Nonlinear frequency upconversion offers a compelling solution by shifting NIR signals into the visible spectrum, allowing the use of mature silic...
The evidence reveals significant research gaps including limited edge intelligence integration in resource-constrained settings, insufficient multi-sensor validation, and lack of context-specific deployment frameworks.
Orientation as Holonomy of the Reader Configuration Space Driven by Dean A. Kulik September 2026 Abstract A finite reader partitions a cell set into m sectors and observes a permutation T through the sector-to-sector transition table C(T). Because T is a bijection, the antisymmetric part A = C − Cᵀ has zero row sums an...
With great pride and anticipation, I present the inaugural volume of the Precision Journal of Information Technology & Scientific Innovation. The launch of this journal marks the beginning of an exciting journey. a platform dedicated to advancing knowledge, fostering innovation, and bridging the gap between cutting-edg...
KAEL is a single, dependency-free Python file (~1,800 lines, stdlib only) that builds an exact algebraic core and, on top of it, a small 2D lattice spinor medium. It runs its own 16-check self-certification on load. Everything below was independently re-derived and measured against the unmodified engine, not read off i...
A novel method for detecting malicious code based on abstract syntax tree (AST) multi-dimensional feature fusion and dynamic graph optimization that effectively overcomes the reliance of traditional detection techniques on static feature libraries, demonstrating significant advantages in complex scenarios such as APT a...
The most popular architecture for land-cover classification and remote sensing remains image classification, and EuroSAT remains the benchmark dataset. Six studies from the literature (2023–2026) report either classification accuracy or deployment efficiency for CNNs, but none report both dimensions for the same model...
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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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…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
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.
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