Community participation is widely promoted in community development as the pathway through which interventions become locally owned and sustainable. However, participatory practice frequently stalls at information sharing and consultation, and participation ranges from tokenistic involvement to citizen control without...
Damaris K. Muthusi· Journal of Science, Innovati...· 0 citations
Information integrity is seriously threatened by the growing number of deepfakes, but current detection techniques frequently have weak generalization and demographic bias due to the biasness of datasets. This research presents a two-stage self-supervised multimodal architecture that learns inherent audio–visual corr...
GPTQ-style quantization damps the calibration Hessian by a fixed fraction of its mean diagonal (one percent in the GPTQ authors' code, five percent in a maintained implementation), a choice that ignores how many calibration rows there are. Small tabular, time-series and text-embedding foundation models can be calibrate...
Guan-Yuan Chen, Ya-Fen Yeh· Zenodo (CERN European Organi...· 0 citations
AIproposesCodeVerifies is a local tool that checks whether a text rewritten or translated by an AI assistant preserves the data the user has chosen to protect. Principle: the AI proposes, the code verifies, the person decides. The tool compares the original text with the AI's proposal and detects certain classes of cha...
Jose Ranero García· Zenodo (CERN European Organi...· 0 citations
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Since 1960, MIT Haystack Observatory has supported atmospheric and geospace research through long running observational programs and the Madrigal distributed database, which provides access to incoherent scatter radar, total electron content, Fabry Perot interferometer, and other datasets. These resources have contribu...
Enrique L. Rojas, Mei‐Yun Lin, Ryan Cavanaugh· Zenodo (CERN European Organi...· 0 citations
GPTQ-style quantization damps the calibration Hessian by a fixed fraction of its mean diagonal (one percent in the GPTQ authors' code, five percent in a maintained implementation), a choice that ignores how many calibration rows there are. Small tabular, time-series and text-embedding foundation models can be calibrate...
Guan-Yuan Chen, Ya-Fen Yeh· Zenodo (CERN European Organi...· 0 citations
Big J v1.0 is a math engine with an English front end. It turns English into 27 numbers, runs one fused calculation on them, and answers in plain English built only from those numbers. No language model writes any reply, and the same input always gives the same answer. The fused calculation (one loop, 2000 steps): the...
James Jardine· Zenodo (CERN European Organi...· 0 citations
Temporal Memory in a Binary Compressed Automaton (TM-BCA) is an inference-time architecture in which an evolving conversational state directs selective evidence acquisition and bounded reasoning around an unchanged language model. It records current constraints, uncertainty, evidence references and dependencies, detect...
Francisco J. Velázquez· Zenodo (CERN European Organi...· 0 citations
This work introduces the Large Language Machine (LLMA), an experimental approach to language processing based on explicit memory and algorithmic inference rather than learned neural weights. A minimal LLMA prototype stores observed language sequences and retrieves or generalizes from them through an explicit, inspectab...
Enrico Betti· Zenodo (CERN European Organi...· 0 citations
Temporal Memory in a Binary Compressed Automaton (TM-BCA) is an inference-time architecture in which an evolving conversational state directs selective evidence acquisition and bounded reasoning around an unchanged language model. It records current constraints, uncertainty, evidence references and dependencies, detect...
Francisco J. Velázquez· Zenodo (CERN European Organi...· 0 citations
This work introduces the Large Language Machine (LLMA), an experimental approach to language processing based on explicit memory and algorithmic inference rather than learned neural weights. A minimal LLMA prototype stores observed language sequences and retrieves or generalizes from them through an explicit, inspectab...
Enrico Betti· Zenodo (CERN European Organi...· 0 citations
[ES] El CAP (Canal Activation Protocol) es un protocolo operativo mínimo diseñado para sostener una relación consciente, portable, trazable y no dependiente entre una persona y un modelo de lenguaje (LLM). No es un prompt, un agente autónomo ni una plataforma. Es un conjunto pequeño de archivos de texto que hace explíc...
Manuel Barrera Anglada, El Canal — Applied Cognitive Symbology (ACS)· Zenodo (CERN European Organi...· 0 citations
