Dear all,
I just reived this kind invitation to submit a paper to a conference on machine learning. I know, the ones of us who are in academia get such invites every other day (or multiple on the same day), but this one reference this Debian et al.-associated paper, so I though I forward it. This could be an opportunity to express the difficulty to perform state-of-the-art AI within a pure Open Source environment, the interplay of container technologies based on different backgrounds within Nextflow or ... just let this be a reminder for us as a community that we should possibly write more papers about ourselves again.
Best,
Steffen
Steffen
Gesendet: Dienstag, 06. August 2024 um 10:32 Uhr
Von: mlis@mail.absconf.org
An: moeller@debian.org
Betreff: [Universiti Tunku Abdul Rahman, Malaysia] Presentation Invitation on Robust Cross-Platform Workflows: How Technical and Scientific Communities Collaborate to Develop, Test and Share Best Practices for Data Analysis
Von: mlis@mail.absconf.org
An: moeller@debian.org
Betreff: [Universiti Tunku Abdul Rahman, Malaysia] Presentation Invitation on Robust Cross-Platform Workflows: How Technical and Scientific Communities Collaborate to Develop, Test and Share Best Practices for Data Analysis
Dear Dr. Möller, S., Thoroughly impressed by your research on: Robust Cross-Platform Workflows: How Technical and Scientific Communities Collaborate to Develop, Test and Share Best Practices for Data Analysis Information integration and workflow technologies for data analysis have always been major fields of investigation in bioinformatics. A range of popular workflow suites are available to support analyses in computational biology. Commercial providers tend to offer prepared applications remote to their clients. However, for most academic environments with local expertise, novel data collection techniques or novel data analysis, it is essential to have all the flexibility of open-source tools and open-source workflow descriptions. Workflows in data-driven science such as computational biology have considerably gained in complexity. New tools or new releases with additional features arrive at an enormous pace, and new reference data or concepts for quality control are emerging. A well-abstracted workflow and the exchange of the same across work groups have an enormous impact on the efficiency of research and the further development of the field. High-throughput sequencing adds to the avalanche of data available in the field; efficient computation and, in particular, parallel execution motivate the transition from traditional scripts and Makefiles to workflows. We here review the extant software development and distribution model with a focus on the role of integration testing and discuss the effect of common workflow language on distributions of open-source scientific software to swiftly and reliably provide the tools demanded for the execution of such formally described workflows. It is contended that, alleviated from technical differences for the execution on local machines, clusters or the cloud, communities also gain the technical means to test workflow-driven interaction across several software packages. we are delighted to extend a warm invitation for you to participate in MLIS 2024, taking place in the beautiful town of Kampar, Perak, Malaysia, from November 17th to 20th, 2024. Your contributions to the field are highly regarded, and we believe they would resonate profoundly with our global community of scholars, experts, and practitioners. Here's the rough program of MLIS 2024: November 17th, 2024 (Sunday) Registration November 18th, 2024 (Monday) Welcom Speech, Keynote Speeches, Poster/Oral Presentations November 19th, 2024 (Tuesday) Invited & Oral Presentations November 20th, 2024 (Wednesday) Technical Investigation of Perak, Malaysia As the conference is organized by the Faculty of Engineering and Green Technology (FEGT) at Universiti Tunku Abdul Rahman, you can expect an enriching experience that broadens your network and renews your knowledge in the dynamic fields of Machine Learning and Intelligent Systems. Moreover, you'll have the opportunity to explore the cultural richness and tropical beauty of Perak, with a day dedicated to discovering its diverse heritage and biodiversity. Accepted full papers will enjoy publication in the prestigious book series Frontiers in Artificial Intelligence and Applications (FAIA), indexed by leading databases such as EI Compendex, Scopus, ACM Digital Library, and Google Scholar, amplifying their reach and impact. If you are not available for the presentation, could you help us review some papers? Active reviewers are candidates for the Technical Program Committee of MLIS 2025. We would be immensely grateful if you could assist in spreading the word about MLIS 2024 within your professional circles. We look forward to welcoming you to Kampar and hope to see your impactful research shared on our platform. Best Regards, Conference Secretary: Ms Yana Shi E-mail: info@machinelearningconf.org Website: http://www.machinelearningconf.org/