Dataset and codebase for "Resilient Edge" — an on-device network fault classifier that separates Baseline operation, Network Congestion, and Distance attenuation on an ESP32 microcontroller using RSSI and latency. The deployed model is a depth-two decision rule over those two features. Seven models were ported to C and...
Haranath Rakshit, Subhasis Banerjee· Zenodo (CERN European Organi...· 0 citations
Eight editable Scandoc Zero browser research previews: InvariantTap, Invariant Surface, AGI Science, AGI Communicate, Manifest, Display, six-leg Navigation and the Harness Observatory. Tap and Surface are independent instruments with a shared conceptual core balance, not a measured physical coupling. The package implem...
Harley Cameron· Zenodo (CERN European Organi...· 0 citations
Software supporting "Gauge-referenced hourly rainfall nowcasting: Comparison of direct radar-to-point and field-first forecast routes" by Jaehee Jung and Joon-Woo Roh. The package provides Direct R2P, gauge-supervised forecast-field CNN readouts, pySTEPS and adapted exPreCast workflows, evaluation, figure reproduction,...
Jaehee Jung, Joon‐Woo Roh· Zenodo (CERN European Organi...· 0 citations
Spatiotemporal Geometry Integration Theory: Temporal Relational Closure as a Reproducible Higher-Order Signature of Conscious Neural Dynamics This manuscript introduces Spatiotemporal Geometry Integration Theory (SGIT), a mathematical and computational framework for investigating higher-order spatiotemporal organizatio...
Miroslav Svítek· Zenodo (CERN European Organi...· 0 citations
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This archive contains the software, certification scripts and complete logs of the computer-assisted part of the paper. The computation proves: Theorem. Every M₆-extremal function has exactly six atoms. Here M₆ is the supremum of |a₆| over holomorphic f: 𝔻 → 𝔻∖{0}. Together with the reduction of Agler and McCarthy and...
Frank Wikström· Zenodo (CERN European Organi...· 0 citations
This article proposes a three-stage methodology for adapting national ornament compositions (girih, islimiy, gul families) to the requirements of digitally controlled manufacturing equipment — CNC milling, laser and plasma cutting, and additive 3D printing. The methodology first formalizes the ornament geometry at the...
S. X. Egamnazarova· Sanoatda raqamli texnologiya...· 0 citations
Clean-room LunarLander data and code supporting When Training Fitness Becomes the Target: Auditing LLM-Driven Recipe Evolution in LunarLander. Includes 12 exploratory searches and 20 prospectively planned searches (10 pairs), 480 candidate recipes and saved policies, experimental protocols, seed manifests, 12,288 role-...
Qindong Gan· Zenodo (CERN European Organi...· 0 citations
SQUIRL OS RESEARCH DISCLOSURE — READ FIRST: This work was produced inside an AI-assisted, receipt-first research program (open-book doctrine: audit-and-correction, versioned amendments, append-only public ledger). Every claim is backed by a timestamped, publicly committed receipt trail in the four-horsemen repository....
Leon Calvin II long· Zenodo (CERN European Organi...· 2 citations
SQUIRL OS RESEARCH DISCLOSURE — READ FIRST: This work was produced inside an AI-assisted, receipt-first research program (open-book doctrine: audit-and-correction, versioned amendments, append-only public ledger). Every claim is backed by a timestamped, publicly committed receipt trail in the four-horsemen repository....
Leon Calvin II long· Zenodo (CERN European Organi...· 3 citations
Episode logs of open-weight LLM agents on three workloads (a data agent with replayable receipts, a skill library under 16 edits, and context assembly under token budgets), with scripts that recompute every number and figure in the IEEE Software article "Agent Context Is a Build Input: Evidence-Based Practices for Test...
Venkata Manikanta Sangaraju· Zenodo (CERN European Organi...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
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