Florian Huber

16 posts

Research Software Engineer specializing in machine learning, mass spectrometry, and scientific Python.

Deep Learning8 Git8 RSE8 Machine Learning7 Training4 FAIR3 Python3 Workflows3

Jun 26, 2023

Mcfly: An easy-to-use tool for deep learning for time series classification

A new mcfly 3.0 release is out. See how it works and how it can help you to apply deep learning to time series classification. Florian Huber·Apr 15, 2020 Once the models are generated, they will be tr...

eScience

Jan 31, 2023

Build a mass spectrometry analysis pipeline in Python using matchms — part II: Spec2Vec

After “part I” which gave an introduction on how to import, process, and analyze a tandem mass spectra dataset using Python and matchms, “part II” will add Spec2Vec to the game, a machine learning too...

eScience

Jan 31, 2023

Build your own mass spectrometry analysis pipeline in Python using matchms — part I

Python is a very powerful language and brings the potential for designing computational mass spectrometry analysis workflows of any desired type and complexity. Here, you can find a quick introduction...

Jul 22, 2022

Mimicking Intelligence: AI imitation crisis

The next generation language models will still just be enormeous parrot-systems that imitate intelligent behavior. But they will feel like much more to us. Florian Huber·Jun 24, 2022 Philosophically a...

eScience

Jun 24, 2022

Welcome to the AI imitation crisis

The next generation language models will still just be enormeous parrot-systems that imitate intelligent behavior. But they will feel like much more to us. Let’s get this straight out of the way: Curr...

Nov 10, 2020

Being a minority in fancy coding land: a Windows user.

How I slowly went from my imposter-syndrome hiding to accepting what I am. A Windows user, at least most of the time. (Don’t worry, this is NOT one of those Linux vs. Windows posts!) I work at the Net...

Sep 1, 2020

Machine learning for research — use it or refuse it? Two flowcharts to help you decide.

Machine learning (in particular deep learning) started to become extremely hot 5–10 years ago. Now, this trend has fully reached most academic fields outside computer science as well. But will it also...

Sep 1, 2020

Machine learningAI for Research — use it or refuse it

Feb 11, 2020

Workshop Machine Learning for Research 2020

For one full week we worked with 6 research teams from different disciplines to explore if and how machine learning could help them answer their research question(s). Here is a brief summary of what w...

eScience

Feb 11, 2020

Workshop Machine Learning for Research 2020 … did it work?

Evaluating our one-week hands-on workshop on applying machine learning to research. 5 Stimulate diverse teams and be aware of (gender-)biases.We wanted to attract diverse teams and in particular avoid...

eScience

Feb 7, 2020

Monopolizing AI

The field of machine learning and AI is facing an increasing divide. Florian Huber·Feb 4, 2020 16 Last edit: 07/02/2020 It seems contradictory at first. On the one hand, deep learning has become incre...

eScience

Sep 24, 2019

Highlights from the European Conference on Machine Learning 2019

ML highlights and trends as seen at ECML-PKDD 2019 (16–20 September, Würzburg, Germany) The conference’s cryptic name is due to the fact that it is a merger of two conferences: the European Conference...

Jul 15, 2019

King - Man + Woman = King ?

Some of the best known examples used to explain the power of prominent Natural Language Processing tools (like Word2Vec) only seem to work with some cheating. One of the most important fields for appl...

Jun 24, 2019

derse 2019 first conference for research software engineers in germany

written by Carlos Martinez-Ortiz and Florian Huber Facts What: First Conference for Research Software Engineers (RSE) in Germany When: 4-6 June 2019 Where: Albert Einstein Science Park in Potsdam But...

Jun 14, 2019

big questions — small data.

At the eScience Center our mission is to “digitally enhance science”. How to do this other than by the biggest tech-superpowers of our time: super-computing, big-data, and of course: deep learning! Bu...

Mar 4, 2019

superhuman blog post

#demystifyAI series (this small series aims at putting important AI-related aspects into perspective) Why you shouldn’t be afraid of AI tools occasionally performing superhuman in some tasks. And why...

← All posts