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Any vacancies, available internships etc. will be announced properly through the usual channels and on this website.
Note that I will not reply to unspecific requests or unsolicited applications for internships, PhD positions etc.

  Michael Biehl,   University of Groningen

click cover Michael Biehl, book cover, The Shallow and the Deep

  University of Groningen, Bernoulli Institute for Mathematics,
  Computer Science and Artificial Intelligence,
  Computer Science Department, Intelligent Systems Group

  Nijenborgh 9, 9747 AG Groningen, NL      m dot biehl at rug dot nl
  Room 5161.0584   Tel +31 50 363 3997    meikelbiehl at gmail dot com

  Honorary Professor of Machine Learning, University of Birmingham
  Center for Systems Modelling and Quantitative Biomedicine

 
  Research:
   Machine Learning and Computational Intelligence
           Theory and algorithm development for neural networks
           Learning Vector Quantization and Relevance Learning
           Applications in life sciences, biomedical data, astroinformatics

   Statistical Physics and Scientific Computing
           Theory of neural networks, dynamics of machine learning processes
           Monte Carlo simulations of complex systems
           Disordered systems, non-equilibrium growth processes

   Teaching:
   Neural Networks and Computational Intelligence
   Modelling and Simulation
   Introduction to Machine Learning
   Student Colloquium



+++ +++ breaking news +++ +++

October 9-11, 2024: Our contributions
On-line Learning Dynamics in Layered Neural Networks with Arbitrary Activation Functions
F. Richert, O. Citton, M. Biehl
Interpreting Hybrid AI through Autodecoded Latent Space Entities
R. Veen, C. Hadjichristodoulou, M. Biehl
have been presented at the 32nd ESANN 2024 and published in the proceedings

October 9, 2024: More than 4800 downloads of
"The Shallow and the Deep" since its publication end of September 2023.

July 2024: Our contribution to the WSOM+ 2024
Interpretable Machine Learning in Endocrinology: a Diagnostic Tool in Primary Aldosteronism
has been published in Springer Lecture Notes

April 2024: The article
Forecasting relative returns for S&P 500 stocks using machine learning
Financial Innovation 10: art. no. 118 (2024), is available on-line (open access)


Any vacancies, available internships, etc. will be announced properly through the usual channels and on this website.
Note that I will not reply to unspecific requests or unsolicited applications for internships, PhD positions etc.