Meine Arbeit als Wissenschaftler ist sehr abwechslungsreich weil ich in einer core facility arbeite (Advanced Medical BIOimaging: #AMBIO) und weil ich einem Transregionalen SFB im Projekt für Infrastruktur (INF) beschäftigt bin.
Eine Aufgabe: Kollegys in #RDM / #FDM weiterbilden, und von meinem letzten Workshop "Naming Files and Folder - Best Practice at the Microscope" gibt es die Materialien zum weiter nutzen unter #ccby40

Zum Inhalt, siehe unten (1/x).

https://zenodo.org/records/19680929

Workshop "Naming Files and Folders - Best Practices at the Microscope" from CRC TRR 384 IN-CODE

Workshop for the CRC TRR 384 IN-CODE, but adaptable for any kind of scientific project, that needs to think about how to name files and folders in a research data management (RDM) context. This particular workshop was created to be very applied to microscopy data, but many concepts can be applied to other types of data as well. We have provided the slides in the open ODP Format as well as in PDF and PPTX. We hope you can use and build on these resources. The slides are commented with some remarks what to introduce and to do with the participatns on each slide. We will improve the slides and the ExampleReadme.md further and further and we are open to feedback.

Zenodo

I created a Workshop called "Naming Files and Folders - Best Practices at the Microscope" and now the slides and examples are published under #CCBY40, so feel free to use and adapt if you are working in #RDM as well. I am open for Feedback.

This was work for the CRC TRR 384 "IN-CODE", so thank you @dfg_public for funding!

https://zenodo.org/records/19680929

Workshop "Naming Files and Folders - Best Practices at the Microscope" from CRC TRR 384 IN-CODE

Workshop for the CRC TRR 384 IN-CODE, but adaptable for any kind of scientific project, that needs to think about how to name files and folders in a research data management (RDM) context. This particular workshop was created to be very applied to microscopy data, but many concepts can be applied to other types of data as well. We have provided the slides in the open ODP Format as well as in PDF and PPTX. We hope you can use and build on these resources. The slides are commented with some remarks what to introduce and to do with the participatns on each slide. We will improve the slides and the ExampleReadme.md further and further and we are open to feedback.

Zenodo

Hi @EUCommission

Cool to see that the Eurostat report (https://ec.social-network.europa.eu/@EUCommission/116311287511611970) is under CC BY 4.0 license!

But a pity that #Eurostat is not on #Mastodon 😞.

To follow Eurostat you have to rely on #hypercapitalistic, #surveillance, #privacy disrespecting, under US jurisdiction #bigtech:

EU Commission, you can do better! Show it, and #PracticeWhatYouPreach!

#CCBY40 #Fediverse #statistics #EU #report #SocialMedia

Wir warten auf die Ubahn xD

Ich fühle Kleinanzeigen + Öffis schon sehr 😂

#kleinanzeigen #ubahn #umzug #umziehen #öffis #CCBY40
The modified Ultrasonic Machine was also really cool. Unfortunately I don't know its actual purpose now 🤔

#ultraschall #ultrasonic #38c3 #cyberpunk #lowtech #ccby40
The Unicorn, destroyer of Worlds

#38c3 #unicorn #ccc #ccby40
last weekend I saw this somewhere around Jena (germany). I needed to take a picture!

#cold #winter #fog #mystic #ccby40

🌍 #MOSEL: Multilingual Open-Source European Languages Dataset

• 📊 950,000 hours of #speech data covering 24 official EU languages
• 🎙️ Includes up to 441K hours of unlabeled speech from #VoxPopuli and #LibriLight
• 🤖 Transcribed using #Whisper large v3 #ASR model
• 🏷️ Covers both labeled and unlabeled #speechcorpora
• 📜 Released under #CCBY40 license for #opensource use
• 🧠 Designed for training #AI #speechrecognition models

Key features:
• Diverse language coverage
• Large-scale dataset
• Open-source compliant
• Includes pseudo-labeled data
• Supports #NLP and #machinelearning research

Learn more: https://huggingface.co/datasets/FBK-MT/mosel?s=09

FBK-MT/mosel · Datasets at Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Noch ein Hint:
Die bunten Fotos gibt es jetzt ganz groß auf https://commons.m.wikimedia.org/wiki/Category:37C3 🚀🦄

#37c3 #CCBY40

Category:37C3 - Wikimedia Commons

Calling Knowledge Graphs and Symbolic AI to the rescue! How #knowledgegraphs can help to improve the performance of large language models and lower the risks of hallucination, we will explain in this section of our free #kg2023 lecture.
OpenHPI video: https://open.hpi.de/courses/knowledgegraphs2023/items/1zeQqWUsn1G7YpSvqAAwMI
youtube video: https://www.youtube.com/watch?v=5XhaLlQPsrg&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=63
Slides: https://zenodo.org/records/10185291 #ccby40
@fiz_karlsruhe @fizise #llm #llms #ai #hybridAI #semanticweb #deeplearning