ScaDS.AI Dresden/Leipzig

With the 63rd Annual Meeting of the Association for Computational Linguistics #ACL2025, we can once again look back on a conference this summer in which @scadsai.bsky.social researchers participated very successfully. 
Read more about it on our blog:
👉 https://scads.ai/acl-2025-in-vienna-austria/

Fragmented customer data is costing you accuracy, insights and trust. 
Join us on August 13 at @scadsai.bsky.social in Leipzig for expert talks and networking under the title "One Customer, Five Records: Fixing Your Data Identity Crisis".
👉 https://www.meetup.com/de-DE/unstructured/events/308624159/

Working with AI in the EU? You’ll want to get familiar with the new EU AI Act.

Robert Haase’s slides explain:

– Provider vs deployer
– What’s “high-risk”
– Copyright and transparency
– LLM plagiarism risks
– Open source and research rules
👉 doi.org/10.5281/zeno...

From research to real results: KI-Hub Sachsen-Thüringen will present support options for companies looking to start using AI at the ScaDS.AI meetup. 

🕧 August 19, 2025 | 5 p.m.
📍 ScaDS.AI Leipzig

Register at  http://events.scads.ai/event/109/

🌏 From July 19 to 21, the 2nd International Sociohydrology Conference took place in Tokyo. @taiscarvalho.bsky.social (@scadsai.bsky.social,  @ufz.de) presented her work on integrating NLP with drought management and adaptation analysis, titled "A global analysis of drought policy documents".

A publication announcement card featuring a blue “PUBLICATION” label at the top left, the bold blue title “Compounding effects in flood drivers challenge estimates of extreme river floods” centered, the authors Shijie Jiang, Larisa Tarasova, Guo Yu, and Jakob Zscheischler listed below, and the ScaDS.AI Dresden Leipzig logo in the bottom left corner.

🏅Outstanding Publication!
What if #ExtremeFloods are driven by compounding factors?
Using #LightGBM + #SHAP to quantify how rainfall, soil moisture, snowpack & temperature interact, this study reveals "The Secret Network of Extreme Floods"
🔗: https://scads.ai/the-secret-network-of-extreme-floods/

We are pleased to announce that ScaDS.AI was represented at the International Conference on Machine Learning (#icml2025) which took place in Vancouver from July 13 to 19 with several papers.

Read more in our blogpost: 
👉https://f.mtr.cool/zgvjsmvuli

🏹 Job alert: 2 Postdoc Positions in LLMs/KGs at @tudresden.bsky.social / @scadsai.bsky.social

📍Dresden 🇩🇪
📅 Apply by Aug 1st
🔗 More info: faerber-lab.github.io/news/7_postd...

From July 14-18 @scadsai.bsky.social researchers presented several papers at #SIGIR2025 and #ICTIR2025 in Padua. 
👏 Congratulations for receiving two Best Paper Honourable Mention Awards at these conferences.
Find more info here:
👉 https://scads.ai/scads-ai-dresden-leipzig-at-sigir-and-ictir-2025/

Congratulations! 🤸‍♂️ 
Our ScaDS.AI Dresden/Leipzig PhD students Fabian Liessmann and @moritzertelt.bsky.social have successfully completed their doctoral defense, which was duly celebrated by their Institute for Drug Discovery at @unileipzig.bsky.social

Alexander Zlobin standing left to a podium, presenting a slide titled “Enzymes and Enzyme Design Tasks” dated “Leipzig, 17 July 2025,” with Institute for Drug Design, NBI, and ScaDS.AI logos visible, as a seated audience listens.

From July 14-18, over 70 researchers gathered at the @scadsai.bsky.social Living Lab for the Leipzig #Rosetta Workshop 2025, organized by the #MeilerLab. 
The sessions covered #RFDiffusion, #ProteinMPNN, docking methods, and XML scripting, catalysing collaboration and innovation. 
📸©️: Julia Belyaeva

ScaDS.AI Summer School LLM Training This is a collection of Jupyter Notebooks about basic and advanced LLM usage, focusing on what’s practicslly possible with Large Language Models. We demonstrate most utilities using the ScaDS.AI Large Language Models (LLM) Servicer (TU Dresden VPN required). Most exercises should also work with other providers such as GWDG KISSKI and Helmholtz Blablador. The tutorial aims at Python programmers who want to dive into LLMs for generating text, code and data using open source/weights models. After this course they will be able to integrate LLMs into their software applications. Contributions and feedback are very welcome! In case you see room for improvement, please create a github issue and/or consider contributing. Topics The notebook collection aims covering these topics: Large Language Models (LLMs) Text/Code/Data generation Prompt Engineering Retrieval-augmented-generation Vision Function calling Agents Covered Python libraries and software In these notebooks we use libraries from the GenAI field: bia-bob llama-index ollama openai Slide decks Also training slides can be downloaded from zenodo: https://doi.org/10.5281/zenodo.15743126 Videos The materials provided here were also discussed in a couple of recorded Online Lectures Large Language Models for Bio-image Analysis (ScaDS.AI Living Lab lecture 2024) Large Language Models – an introduction for life scientists (GloBIAS Seminar 2024) Bio-image Analysis Code Generation (I2K Conference 2024) Generative Artificial Intelligence for Bio-image Analysis Related resources The notebooks presented here were partially taken from other places or inspired by code in these resources:

I just finished a full-day hands-on tutorial about applications of LLMs as part of the @scadsai.bsky.social Summer School. Big thanks everyone for the lively discussions about prompt engineering, code&data generation, RAG, vision, function calling and #AI agents 🖥🤖🚀
scads.github.io/LLM_Summer_S...

Last Tuesday, Dr. Christoph Lehmann and Dr. Siavash Ghiasvand toured FormFactor Inc’s production facility and had strategic discussions.
Together determined to accelerate innovation through integrating #AI into #semiconductors, strengthening #SiliconSaxony's position in Europe!

Last week, @scadsai.bsky.social researcher Christofer Meinecke, together with Estelle Guéville and David Joseph Wrisley, gave a talk at #DH2025 in Lisboa, Portugal on “Exploring the ”Great Unseen" in Medieval Manuscripts: Instance-Level Labeling of Legacy Image Collections with Zero-Shot Models".

On July 15, the @scadsai.bsky.social  start-up AI-DT presented its “Co-Scientist”, an AI-supported chatbot for #ProteinDesign and #DrugDevelopment to the #Meetup community.🪢

More insights and detailed information in our blog post:
https://f.mtr.cool/lnikycvkex

Introducing the Women*Network at ScaDS.AI Dresden/Leipzig—a space for women in AI & data science to connect, share, and support each other.

Open to anyone in a similar field, not just ScaDS.AI members.

More information:
👉 lnkd.in/ebmiGpYp

Congratulations on receiving the Best Paper Honourable Mention at #SIGIR2025 👏

Are you interested in LLMs and would like to learn more about the topic? Then take a look at @haesleinhuepf.bsky.social's slides for a one-day tutorial he gave at the @scadsai.bsky.social International Summer School last month.

The slides are openly available here:
📝 zenodo.org/records/1574...

Smiling young man standing next to a poster titled "Evaluating Attention Management Systems for Dynamic Monitoring Tasks" at a conference.

🏆Anton Gasse, Alexander Lingler(@ituaustria.bsky.social), Martin Lorenz, @oulasvirta.bsky.social(@aalto.fi‬), @philwintersberg.bsky.social(@ituaustria.bsky.social) & @patebel.bsky.social won the People’s Choice Award for Best Poster @chiwork.bsky.social 2025 in Amsterdam!
🔗https://shorturl.at/D5JDO

A new version of GPTKB (v1.5) was released! It represents a major advance on understanding LLM knowledge, being now based on the frontier LLM GPT-4.1, and featuring facts for more than 6.1 million entities, while also doubling the accuracy.

👉 https://arxiv.org/pdf/2507.05740

📣 Quick reminder 📣
The #LivingLab Leipzig opens its doors tomorrow, July 15 at 5:45pm to welcome you to the next @scadsai.bsky.social #meetup with the topic "AI meets BioTech".
Register here and join the meetup community:
👉 https://events.scads.ai/e/meetup_AI_meets_Biotech

From June 29 - July 4, 2025, Miriam Louise Carnot joined the BMW Summer School in Saint Raphaël, France. There, she presented a poster on automated streetscape monitoring. In a team, she worked on a startup idea based on her PhD topic –  and won an award for the best pitch.

Yesterday, @scadsai.bsky.social  organized a joint symposium on AI and medical science in collaboration with the Taipei Representative Office in Germany, the TUD Faculty of Medicine, & the China Medical University Hospital.

👉 https://scads.ai/ai-and-medical-science-saxon-taiwanese-collaboration/

⭕ Last week at @scadsai.bsky.social :
Dr. Werner Dobrautz and his group joined the CECAM flagship workshop 'Open software for neural wavefunctions' at EPFL in Lausanne. He gave the talk 'Smoother Wavefunctions, Smaller Bases: Transcorrelated Approaches for Efficient Quantum Simulations'.

FULL PAPER
Ferdinand Schlatt, Tim Hagen, Martin Potthast, and Matthias Hagen. TITE: Token-Independent Text Encoder for Information Retrieval.

FULL PAPER
Andrew Parry, Maik Fröbe, Harrisen Scells, Ferdinand Schlatt, Guglielmo Faggioli, Saber Zerhoudi, Sean MacAvaney, and Eugene Yang. Variations in Relevance Judgments and the Shelf Life of Test Collections.

RESOURCE PAPER
Tim Hagen, Maik Fröbe, Jan Heinrich Merker, Harrisen Scells, Matthias Hagen, and Martin Potthast. TIREx Tracker: The Information Retrieval Experiment Tracker.

FULL PAPER
Lukas Gienapp, Tim Hagen, Maik Fröbe, Matthias Hagen, Benno Stein, Martin Potthast, and Harrisen Scells. The Viability of Crowdsourcing for RAG Evaluation.

SHORT PAPER
Maik Fröbe, Andrew Parry, Ferdinand Schlatt, Sean MacAvaney, Benno Stein, Martin Potthast, and Matthias Hagen. Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors.

WORKSHOP
Sebastian Bruch, Maik Fröbe, Tim Hagen, Franco Maria Nardini, and Martin Potthast. ReNeuIR at SIGIR 2025: The Fourth Workshop on Reaching Efficiency in Neural Information Retrieval.