Florian Huber

@me-datapoint.bsky.social

Professor for data science at HSD, @zdd-hsd.bsky.social | ML fan & critic | current research mostly #datascience, #machinelearning, #cheminformatics #dataviz #nlp | ✨ #openscience #openaccess #rse | living data point 🚲

Ich stelle mir die Zukunft mit umfassender KI-Nutzung genau so vor, etwa so wie die Deutsche Bahn heute. Im Großen und Ganzen funktioniert alles, meistens jedenfalls, aber schlechter, als es müsste. Immer wieder ist man der Verzweiflung nahe, oder einfach nur fürchterlich genervt. Neuer Newsletter:

Das hier wäre fast ein Anti-KI-Manifest geworden, aber ich schreibe keine Manifeste

Die entscheidende Frage lautet: Rechtfertig der Nutzen den Preis?

open.substack.com

Heute war der Startschuss eines tollen Projekts. Es heißt „Abpflastern“ und kam 2025 aus den Niederlanden nach Deutschland. Es ist ein Wettbewerb zwischen Städten und Gemeinden. Wer vom 21. März bis 31. Oktober am meisten Flächen entsiegelt & begrünt, gewinnt. Mitmachen können Privatpersonen...(1/2)

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Our new paper on the presence of xenobiotics in marine dissolved organic matter just come out. Thanks to Jarmo Kalinski and our awesome collaborators, we were able to reanalyze more than 20 public LC-MS/MS datasets from seawater and ask how many anthropogenic compounds we can detect. rdcu.be/e8q6C

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Das bayerische Finanzministerium will weiterhin Microsoft-Produkte einsetzen und dafür einen millionenschweren Vertrag verlängern. Die Opposition will eine Abkehr vom Tech-Riesen und fordert „digitale Souveränität“. Doch auch das könnte sich als Bumerang erweisen. netzpolitik.org/2026/bayeris...

Bayerischer Landtag: Streit um Microsoft eskaliert

Das bayerische Finanzministerium will weiterhin Microsoft-Produkte im Freistaat einsetzen und dafür einen millionenschweren Vertrag verlängern. Die Opposition will eine Abkehr vom Tech-Riesen und ford...

netzpolitik.org

This is an excellent analogy, because my recollection from grade school is that the pen on the right looks fun and exciting, and then you play with it for a few minutes and realize it's not actually useful for anything and in fact makes some tasks more cumbersome, and never think about it again.

@marykmac.bsky.social · 8mo ago

yeah, just out of interest, how many people choose the pen on the right for real work or art? See a lot of them in professional workplaces, do you?

Picture of two pens. The first is an ordinary ballpoint pen, with the caption “how work feels doing it alone”. The second is a picture of one of those novelty pens with ten colours that you had when you were thirteen, with the caption, “how work feels worh an AI employee”. At their bottom it says “hire an AI employee for $0.97/day”.

Out now! xcms in Peak Form: Now Anchoring a Complete Metabolomics Data Preprocessing and Analysis Software Ecosystem doi.org/10.1021/acs.... with Phillipine and @jorainer.bsky.social (EURAC), @metabomichael.bsky.social, Hendrik and Norman from @ipbhalle.bsky.social, @janstanstrup.bsky.social, et al.

xcms in Peak Form: Now Anchoring a Complete Metabolomics Data Preprocessing and Analysis Software Ecosystem

High-quality data preprocessing is essential for untargeted metabolomics experiments, where increasing data set scale and complexity demand adaptable, robust, and reproducible software solutions. Modern preprocessing tools must evolve to integrate seamlessly with downstream analysis platforms, ensuring efficient and streamlined workflows. Since its introduction in 2005, the xcms R package has become one of the most widely used tools for LC-MS data preprocessing. Developed through an open-source, community-driven approach, xcms maintains long-term stability while continuously expanding its capabilities and accessibility. We present recent advancements that position xcms as a central component of a modular and interoperable software ecosystem for metabolomics data analysis. Key improvements include enhanced scalability, enabling the processing of large-scale experiments with thousands of samples on standard computing hardware. These developments empower users to build comprehensive, customizable, and reproducible workflows tailored to diverse experimental designs and analytical needs. An expanding collection of tutorials, documentation, and teaching materials further supports both new and experienced users in leveraging broader R and Bioconductor ecosystems. These resources facilitate the integration of statistical modeling, visualization tools, and domain-specific packages, extending the reach and impact of xcms workflows. Together, these enhancements solidify xcms as a cornerstone of modern metabolomics research.

doi.org