Tootfinder

Travis Etienne, Jacory Croskey-Merritt and Javonte Williams for real? Plus, 2 trades fueling 1 contender https://www.nfl.com/news/travis-etienne-jacory-croskey-merritt-and-javonte-williams-for-real-plus-2-trades-fueling…

Beim Schreiben neige ich (anders als beim mündlichen Brabbeln) zur Kürze. Aber zu Gabriele Mainettis neuem Film LA CITTÀ PROIBITA (deutscher Titel aus unklaren Gründen KUNG FU IN ROME <- ja, in englischer Schreibweise...) gab es überraschend viel zu sagen. Mein Text im Perlentaucher.
https://www.

Fabian Tietke - Filmkritik zu "Kung-Fu in Rome" von Gabriele Mainetti - Im Kino
Fabian Tietke: Im Kino vom 08.09.2025

Lässt euch das Urteil des Landgerichts München (Aktenzeichen 42 O 14139/24) auch grad so Atemlos?
Bin ja eher selten ein Fan von GEMA oder Helene Fischer, aber... 🥳⚖️
https://www.heise.de/news/GEMA-vs-OpenAI-Niederlage-fuer-ChatGPT-v…

GEMA vs. OpenAI: Niederlage für ChatGPT vor Münchner Gericht
Das Landgericht München hat gegen OpenAI entschieden. Geklagt hatte die GEMA – es geht um Liedtexte von Helene Fischer und mehr.

‘We’re fighting for you!’ Podcaster Ben Meiselas on taking on the Maga media – and winning the ratings battle | Podcasts | The Guardian
https://www.theguardian.com/tv-and-radio/2025/oct/11/podcaster-ben-me…

Active Learning and Explainable AI for Multi-Objective Optimization of Spin Coated Polymers
Brendan Young, Brendan Alvey, Andreas Werbrouck, Will Murphy, James Keller, Mattias J. Young, Matthew Maschmann
https://arxiv.org/abs/2509.08988

Active Learning and Explainable AI for Multi-Objective Optimization of Spin Coated Polymers
Spin coating polymer thin films to achieve specific mechanical properties is inherently a multi-objective optimization problem. We present a framework that integrates an active Pareto front learning algorithm (PyePAL) with visualization and explainable AI techniques to optimize processing parameters. PyePAL uses Gaussian process models to predict objective values (hardness and elasticity) from the design variables (spin speed, dilution, and polymer mixture), guiding the adaptive selection of sa…

Towards Adaptive ML Benchmarks: Web-Agent-Driven Construction, Domain Expansion, and Metric Optimization
Hangyi Jia, Yuxi Qian, Hanwen Tong, Xinhui Wu, Lin Chen, Feng Wei
https://arxiv.org/abs/2509.09321

Towards Adaptive ML Benchmarks: Web-Agent-Driven Construction, Domain Expansion, and Metric Optimization
Recent advances in large language models (LLMs) have enabled the emergence of general-purpose agents for automating end-to-end machine learning (ML) workflows, including data analysis, feature engineering, model training, and competition solving. However, existing benchmarks remain limited in task coverage, domain diversity, difficulty modeling, and evaluation rigor, failing to capture the full capabilities of such agents in realistic settings. We present TAM Bench, a diverse, realistic, and st…

C.J. Stroud calls out Texans for 'lollygagging' following Week 1 loss to Rams https://www.nfl.com/news/c-j-stroud-calls-out-texans-for-lollygagging-following-week-1-loss-to-rams

A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management
Julian Oelhaf, Georg Kordowich, Mehran Pashaei, Christian Bergler, Andreas Maier, Johann J\"ager, Siming Bayer
https://arxiv.org/abs/2509.09053

A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management
The integration of renewable and distributed energy resources reshapes modern power systems, challenging conventional protection schemes. This scoping review synthesizes recent literature on machine learning (ML) applications in power system protection and disturbance management, following the PRISMA for Scoping Reviews framework. Based on over 100 publications, three key objectives are addressed: (i) assessing the scope of ML research in protection tasks; (ii) evaluating ML performance across …