AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,200 papers
# UNIVERSAL RECURSIVE SELF-IMPROVEMENT (RSI) FRAMEWORK### An Agentic, Fault-Tolerant, Quine-Closed Architecture for Autonomous Algorithmic Self-Optimization**Author:** Luigi Usai **Framework Version:** 1.0.0 **Release Date:** 2026-09-11 **Target Platform:** Python >= 3.10 (Linux, macOS, Windows) **Licensing:** AFERO AG...
The UCCRHC-001 Master Corpus Integration Index is the authoritative structural, navigational, provenance, and relationship index for Version 2.0 of the Universal Recoverability Constitution (UCCRHC-001) and the broader Continuity Science / Recoverability-Constrained Systems (RCS) corpus. The Index maps the relationship...
The UCCRHC-001 Master Corpus Integration Index is the authoritative structural, navigational, provenance, and relationship index for Version 2.0 of the Universal Recoverability Constitution (UCCRHC-001) and the broader Continuity Science / Recoverability-Constrained Systems (RCS) corpus. The Index maps the relationship...
Modern autonomous agents predominantly manage state and memory through static vector embeddings and flat nearest-neighbor (k-NN) retrieval mechanisms. While effective for isolated semantic lookups, this mechanical paradigm suffers from severe cognitive pathologies in long-horizon reasoning tasks: lack of temporal recen...
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This practical guidance presents a procedure for installing and operating the CubeTechnology system in which artificial intelligence is used as a continuous assistant to the user at all stages of working with the system. The main distinguishing feature of the proposed approach is that the user provides ChatGPT, or anot...
ource code accompanying the TrustFed-RL manuscript on multi-signal behavioural trust, trust-weighted federated learning, RL-based cyber response, and runtime governance for IoMT intrusion detection. This release includes: Core modules (src/): FL client/server, trust, governance, RL, adversary Locked experiment configs...
ource code accompanying the TrustFed-RL manuscript on multi-signal behavioural trust, trust-weighted federated learning, RL-based cyber response, and runtime governance for IoMT intrusion detection. This release includes: Core modules (src/): FL client/server, trust, governance, RL, adversary Locked experiment configs...
Software archive accompanying the paper "Who Benefits from Federation? Heterogeneous Gains in Cross-Operator Network Traffic Representation Learning" by Mohammad Arafath Uddin Shariff and Byrav Ramamurthy (School of Computing, University of Nebraska-Lincoln), presented at the 13th International Workshop on Innovating t...
TNFR-Python-Engine is a Python framework for coherent-pattern analysis on graph-coupled networks. The nodal relation dEPI/dt = nu_f DeltaNFR organizes a declared evolution model; pressure, phase, capacity, support and any additional forcing require their own specifications. The engine provides 13 registered structural...
Versioned research release of the BBB permeability prediction project. This release preserves the complete source code, experimental results, documentation, figures, and reproducibility materials for the project. Contents: Phase 3: 5-fold scaffold CV classical ML (RF AUROC 0.921+/-0.024) Phase 4: Chemprop GNN ensemble...
Versioned research release of the BBB permeability prediction project. This release preserves the complete source code, experimental results, documentation, figures, and reproducibility materials for the project. Contents: Phase 3: 5-fold scaffold CV classical ML (RF AUROC 0.921+/-0.024) Phase 4: Chemprop GNN ensemble...
This software deposit provides the English-language computational companion to EvoProto, a Python reference implementation of an evidence-gated framework for evolution-informed engineering design. It accompanies the manuscript “From Evolutionary Biology Data to Technological Prototypes: An AI-Driven Engineering Design...
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
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.
A Blog post by IBM Granite on Hugging Face
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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