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!

Dr. Sandra Gisela Martín from the re3data Editorial Board delivered a featured lecture, “re3data: Global Registry of Research Data Repositories”, at the Second Meeting of Colombian Institutional Repository Managers and Open Science (II Encuentro de Gestores de Repositorios Institucionales de Colombia y Ciencia Abierta, ERICCA 2024), which was held in Cartagena, Colombia, September 25-27. Convened by the Colombian Ministry of Science, Technology

Do you remember your first contribution to open source?Or are you still waiting to make it? Contributing to open source can be very rewarding, but also incredibly intimidating.When we asked about first time contributions on the rOpenSci Slack,people recalled the challenges and mistakes they made, but mostly how much they learned from and enjoyed that experience.For open source maintainers, contributions can also lead to mixed feelings,as

This week marks the fifteenth annual International Open Access Week. Since 2010, the week has provided a platform to discuss the state and challenges of open access to scientific knowledge. While the early years focused on access to scientific articles (“Open Access Week” 2024), this year’s activities increasingly address other aspects of Open Science.

How Apple’s Research Exposes AI’s Inability to Reason and OpenAI Highlights ChatGPT’s Name-Based Biases Author Zijian Yang ( ORCID: 0009–0006–8301–7634) Introduction As artificial intelligence continues to evolve, the capabilities and limitations of large language models (LLMs) are under increasing scrutiny.

Recently I’ve been exploring data downloaded from BOLD. Part of this was motivated by work done with David Schindel for a recent book: In this blog post I record some struggles I’ve had with the supposedly “Frictionless” data provided by BOLD. I list a serious of issues, and make some recommendations as to how these can be fixed. Previous versions disappear from site The web page Data Packages lists datasets that can be downloaded.

The Most Recent Cutting-Edge Models Author Aditya Iyengar (ORCID: 0009–0005–1959–9724) Introduction The past 6 months marked significant technological leaps in the field of artificial intelligence (AI), especially in the realm of image generation. In this six-month window, multiple innovations redefined the capabilities of text-to-image, video generation, and multimodal AI systems.

Working Examples Author Mingrui Gao ( ORCID : 0009–0005–7271–2677) Introduction Machine learning has revolutionised countless industries, but deploying ML models remains a significant challenge for many data scientists and developers.

Unleashing FLUX1.1 with the BFL API Author Tarun Krishnan ( ORCID : 0009–0006–6647–127X) Introduction With the growing demand for image generation models in various applications, the need for APIs that seamlessly integrate these models into developers’ workflows has skyrocketed.

Let’s explore MLflow together. Author Wendi Fan ( ORCID: 0000–0003–0284–9166 ) Introduction MLflow is an open-source platform designed to manage the entire lifecycle of machine learning projects. It helps developers and data scientists streamline their workflows by tracking experiments, managing models, and deploying them efficiently.