The probabilistic cloud state machine (PCSM) theory [1] formalises the classical control layer of quantum computing as a geometric model over the space of stable probability distributions. This paper reports the full implementation path from that theory to a usable Python programming interface, together with real-hardw...
kaifa chen· Zenodo (CERN European Organi...· 0 citations
Software artifact for SkillCODER: Towards Auditing and Attribution of Copyright Infringement in LLM Agent Skills, accepted at ACM CCS 2026 (Round 2). This is the September 13, 2026 repackaging of v1.0.0, based on source commit 22eccdb452b2d90e475277ebb34ee584e5f617fe. It includes the current English and Chinese documen...
EonHao· Zenodo (CERN European Organi...· 0 citations
This paper tests a statistical hypothesis about interacting multi-systems: when two persistently interacting systems express the same structure state consistently, that structure produces a more concentrated symbol distribution within either single system — in short, "a structure expressed consistently by two systems i...
kaifa chen· Zenodo (CERN European Organi...· 0 citations
emgteach is an open-source Python package that provides a unified PySide6 desktop application for real-time acquisition, offline analysis and maximum voluntary contraction (MVC) normalisation of surface electromyography (sEMG) signals. It is designed for hands-on biopotential acquisition in undergraduate physiology tea...
Ángel Agís-Torres, Vítor S. Fernandes, Jorge Navarro‐Dorado et al.· Zenodo (CERN European Organi...· 0 citations
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Automated platforms that classify sequence variants under the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) framework are increasingly used in rare-disease genomics, yet methodology for characterizing their performance at an early organizational stage is underdeveloped...
Vladimir Mitev· Frontiers in Genetics· 0 citations
<div class="section abstract"><div class="htmlview paragraph">The Electro-Mechanical Brake (EMB) system is a dry-type Brake-by-Wire technology that eliminates hydraulic components and directly controls friction braking using electrical actuators at each wheel. The EMB architecture consists of a Main Center Control Unit...
Dokun Kim· SAE technical paper series· 0 citations
UMOKWAI Supervision Meta-Router — Selective-loading system for the validation of LLM-generated technical draftsThis work introduces the Supervision Meta-Router, a modular selective-loading operational system designed to review the responses produced by the UMOKWAI Ontological Router. The Meta-Router rests on two non-ne...
Marco Falsetti· Zenodo (CERN European Organi...· 0 citations
A locally hosted web application that integrates orthology inference with Gene Ontology enrichment for comparative proteome analysis. It retrieves reference and non-reference proteomes from UniProt, runs OrthoFinder to infer orthogroups, explores orthogroup composition across species through interactive UpSet plots, an...
Carlos Vivas-Rodríguez, David Matallanas, Colm J. Ryan et al.· Zenodo (CERN European Organi...· 0 citations
UMOKWAI Supervision Meta-Router — Selective-loading system for the validation of LLM-generated technical draftsThis work introduces the Supervision Meta-Router, a modular selective-loading operational system designed to review the responses produced by the UMOKWAI Ontological Router. The Meta-Router rests on two non-ne...
Marco Falsetti· Zenodo (CERN European Organi...· 0 citations
A reproducible audit package for evaluating environmental prediction-interval claims across deployment groups, split designs, finite-output behavior, and target-information budgets. Archive version 0.1.1 adds the Forest Ecosystems evidence extension v2. The software core remains version 0.1.0. The evidence bundle conta...
Liwei Deng, Lu Wang, Zhufang Kuang· Zenodo (CERN European Organi...· 0 citations
A locally hosted web application that integrates orthology inference with Gene Ontology enrichment for comparative proteome analysis. It retrieves reference and non-reference proteomes from UniProt, runs OrthoFinder to infer orthogroups, explores orthogroup composition across species through interactive UpSet plots, an...
Carlos Vivas-Rodríguez, David Gomez Matallanas, Colm J. Ryan et al.· Zenodo (CERN European Organi...· 0 citations
Crystal structure is one of the most abstract topics in secondary school chemistry. Textbookspresent three-dimensional lattices as flat diagrams, and physical models cannot be modified, sostudents often memorize conclusions such as "NaCl has a coordination number of 6" withoutunderstanding how structure determines prop...
Kerong He· 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…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
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