DS EV Battery Enhancement — Version 7.1 Release Notes Motivation This update focuses on improving reliability and correctness in the diagnostics pipeline. The goal is to prevent misbehavior on newer Python versions, reject edge‑case inputs cleanly, and ensure malformed configuration files fail fast with clear messaging...
Don Michael Feeney· Zenodo (CERN European Organi...· 0 citations
Résumé FRCe document, produit avec l’assistance de ChatGPT 5.1 Thinking et Gemini 3 Pro, est publié sous licence Apache 2.0. Il constitue une publication défensive (antériorité) et entre de ce fait dans l’état de la technique lors de sa mise à disposition au public conformément aux textes applicables : EPC Art. 54(2) (...
Xavier, Pillet· Zenodo (CERN European Organi...· 0 citations
# GALAXY v0.7.0–v0.8.0 GALAXY v0.7.0–v0.8.0 records two consecutive milestones in the development of GALAXY's resident Barnes–Hut self-gravity execution family. Version v0.7.0 established the correctness-first Barnes–Hut self-gravity and GPU tree-construction foundation. It introduced deterministic resident N-body self...
Trent Slade· Zenodo (CERN European Organi...· 0 citations
Named Laws Live at Computable Addresses Where the NEXUS registry places the latch, the ring oscillator, Griffith’s 8, the diffusive floor, no-cloning, Planck, Gödel and the inverse-square law, and what its one empty slot predicts Driven by Dean A. Kulik September 2026 Abstract Named laws live at addresses. Each named r...
Dean Kulik· Zenodo (CERN European Organi...· 0 citations
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Tonn-AGI proposes a falsifiable architecture for Artificial General Intelligence in which general intelligence is treated not as a capability that must reside inside a single model, but as a potentially emergent property of a persistent cognitive organization composed of replaceable models, agents, skills, tools, softw...
Bjoern Tonn· Zenodo (CERN European Organi...· 0 citations
This repository contains the complete source code and statistical analysis results for the paper: "A Data Driven Interpretable Fuzzy System with Three-Dimensional Optimization for Software Fault Prediction" Authors: Behrooz Shahi, Hooman TahayoriAffiliation: Department of Computer Science and Engineering & IT, School o...
Behrooz Shahi, Hooman Tahayori· Zenodo (CERN European Organi...· 0 citations
This software and evidence package supports the manuscript “Compression and Encoding Cost in Context Clustered Huffman and rANS Coding” by Richard Leinecker, University of Central Florida, prepared for submission to the Data Compression Conference. The study compares deterministic context reassignment with native-polic...
Richard Leinecker· Zenodo (CERN European Organi...· 0 citations
SATI OS v18.1.0-beta.1: Source Bundle (Private Review, 2026-09-10) Description Frozen source bundle of SATI OS v18.1.0-beta.1 (codename BETA_PRIVATE_REVIEW), a proprietary quantum error-correction software stack built around the LCL-832 [[832,10,d]] genus-5 topological code. This is a private review snapshot prepared f...
Guillaume Besnard· Zenodo (CERN European Organi...· 0 citations
This repository contains the complete source code and statistical analysis results for the paper: "A Data Driven Interpretable Fuzzy System with Three-Dimensional Optimization for Software Fault Prediction" Authors: Behrooz Shahi, Hooman TahayoriAffiliation: Department of Computer Science and Engineering & IT, School o...
Behrooz Shahi, Hooman Tahayori· Zenodo (CERN European Organi...· 0 citations
CPU-only maximum verification suite for qector-decoder-v3 1.0.0 under an Enterprise license. This deposit contains the complete pytest suite, machine report, and supporting artifacts used to confirm syndrome-faithful batch decoding on CPU across eleven code families and twenty-two decoder backends. Distances from 3 to...
Guillaume Besnard· Zenodo (CERN European Organi...· 0 citations
Data and analysis code accompanying the manuscript “An empty calibration window: why magnitude-threshold traffic-light schemes cannot warn of moderate induced earthquakes in the southern Sichuan Basin” (Qi Deng, submitted to Journal of Seismology). The study asks how much advance warning a conventional magnitude-thresh...
Deng Qi· Zenodo (CERN European Organi...· 0 citations
NeuroCVguard helps researchers check training and test splits in neuroimaging machine learning studies. It audits participant overlap and declared relationships, checks site separation against the study objective, and reports what can and cannot be assessed from the supplied data. The package works with local CSV, TSV...
Alireza Emad· Zenodo (CERN European Organi...· 0 citations
“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.
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.
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