Messaggi di Rogue Scholar

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Pubblicato in Research Software Alliance
Autore Kim Hartley, Michelle Barker, Daniel S. Katz

(Photo credit: Annelies Verhelst) Authors: Kim Hartley, Michelle Barker, Daniel S. Katz Given that software is an integral component of research processes and a widely used instrument for scientific research in all fields, funders have increasingly recognised and valued research software and the people who develop and maintain it as fundamental and vital to research globally.

Pubblicato in rOpenSci - open tools for open science
Autore The rOpenSci Team

Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog.Now let’s dive into the activity at and around rOpenSci! rOpenSci HQ rOpenSci in the Research Organization Registry rOpenSci was added to the Research Organization Registry (ROR) in its latest release. The ROR is a global, community-led registry of open persistent identifiers for research organizations.

Pubblicato in Front Matter

This week I updated the submission form for the Rogue Scholar science blog archive to clarify that participating blogs can't be journals (or books). Journals and journal articles have many similarities to blogs and blog posts, but they are something different, and out of scope for the Rogue Scholar science blog archive. One feature that can differentiate a journal from a blog is that journals often have volumes and issues.

Pubblicato in COREF Blog
Autore re3data Team

The re3data Editorial Board is pleased to welcome seven new members: Dalal Hakim Rahme, Coordinator of Content Curation, United Nations Rene Faustino Gabriel Junior, Professor, Universidade Federal do Rio Grando do Sul Sandra Gisela Martín, Library Director, Universidad Católica de Córdoba Tekleweyni Geday, Lecturer, Mekelle University Theodora Bloom, Executive Editor, BMJ Vaidas Morkevičius, Professor, Lithuanian Data Archive for Social

Pubblicato in Stories by Research Graph on Medium
Autore Amanda Kau

A novel compression technique ensuring comparable performance with 70% less parameters Author Amanda Kau ( ORCID : 0009–0004–4949–9284) Introduction The sizes of large language models (LLMs) have been steadily increasing over the last few years.

Pubblicato in rOpenSci - open tools for open science

Do you maintain an open-source project like an R package or a collection thereof, and wonder how to best use various communication channels to inform and engage with your community of users?We’ve consolidated this list of tips.Some of them are required in our opinion, others are simply nice to have.

Pubblicato in Stories by Research Graph on Medium
Autore Wenyi Pi

Enhancing Data Interactivity with LLMs and Neo4j Knowledge Graphs Author Wenyi Pi ( ORCID : 0009–0002–2884–2771) Introduction Since OpenAI launched ChatGPT, a large language model (LLM) based chatbot, in 2023, it has set off a technological wave.

Pubblicato in Journal of Open Source Software Blog |
Autore Arfon M. Smith

Skip to main content ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: {#app-content .styles__appChildrenContainer___[chunkhash-base64-5] role=“main”} JOSSCast: Open Source for Researchers By The Journal of Open Source Software [Supercharge your research with the latest scientific software showcased in the Journal of Open Source Software (JOSS). Hear directly

Pubblicato in Bayesically Speaking

Introduction Hey there, fellow science enthusiasts and stats geeks! Welcome back to the wild world of Markov Chain Monte Carlo (MCMC) algorithms. This is part two of my series on the powerhouse behind Bayesian Inference . If you missed the first post, no worries! Just hop on over here and catch up before we dive deeper into the MCMC madness.

Pubblicato in Stories by Research Graph on Medium

Author Dhruv Gupta ( ORCID : 0009–0004–7109–5403) Introduction Large Language Models (LLMs) have become the new face of Natural language processing (NLP). With their generative power and ability to comprehend human language, the human reliance on these models is increasing every day. However, the LLMs have been known to hallucinate and thus produce wrong outputs.