2025 Genetic and Evolutionary Computation Conference (GECCO 2025) https://gecco-2025.sigevo.org/HomePageMálaga, Spain (hybrid event)July 14-18, 2025 We are inviting you to submit … More
Author: Thomas Bartz-Beielstein
CfP: ProbNum25 – The International Conference on Probabilistic Numerics
1st – 3rd September 2025, EURECOM, France ProbNum25 is an international conference on Probabilistic Numerics, methods for statistically solving numerical problems (optimisation, … More
Reading Recommendation: “SCORE Band Visualizations: Supporting Decision Makers in Comparing High-Dimensional Outcome Vectors in Multiobjective Optimization”
The paper contributes to visualizing such outcome vectors independent of how they have been generated.
PyTorch Deprecation of Conda Nightly Builds
PyTorch will stop publishing Anaconda packages that depend on Anaconda’s default packages due to the high maintenance costs for conda … More
WDR-Meldung: RB25 fährt bis Mai weiterhin nicht von Köln in Richtung Sauerland
Julian Piepkorn (WDR) berichtet wie folgt: Die RB25 sollte im Dezember wieder von Meinerzhagen nach Köln fahren. Das verzögert sich … More
Tutorials, Workshops, and Competitions at 2025 Genetic and Evolutionary Computation Conference (GECCO2025)
Please find below information about Tutorials, Workshops, and Competitions at 2025 Genetic and Evolutionary Computation Conference (GECCO2025) which will be … More
Reading Recommendation: On the generalization of PINNs outside the training domain and the hyperparameters influencing it
The article examines the generalization of Physics-informed neural networks (PINNs) beyond training domains, emphasizing predictive accuracy and adherence to physical principles. It challenges the role of overparametrization, suggesting it may promote overfitting rather than enhancing generalization in scientific machine learning.
Interesting: Lecture Series in AI: “How Could Machines Reach Human-Level Intelligence?” by Yann LeCun
Yann LeCun’s lecture discusses the limitations of current AI, emphasizing the need for a cognitive architecture with a predictive world model. This model uses a Joint Embedding Predictive Architecture (JEPA) to enable planning and understanding, aiming for human-level intelligence.
New arXiv Preprint: Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution
The article explores the integration of Explainable Artificial Intelligence (XAI) in enhancing deep learning performance. Focusing on regression problems, it introduces a feature selection pipeline using Integrated Gradients and k-means clustering, applied to blade vibration analysis in turbo machinery development.
TH Köln erhält einen HPC Rechencluster
Der TH-KIplus Cluster an der TH Köln wird aus Gummersbach und Leverkusen betrieben, bietet Hochleistungsrechnen für KI-Anwendungen und startet im Sommersemester 2025. Momentan läuft eine Testphase zur Nutzer- und Softwareverwaltung sowie zur Kostenabrechnung.