"Einsatzgebiete von Künstlicher Intelligenz in wissenschaftlichen Bibliotheken – Praxis und Perspektiven": Bachelor-Arbeit von Carina Pizzini an der TH Köln: https://publiscologne.th-koeln.de/frontdoor/index/index/docId/2678
In the digital age, misinformation spreads rapidly, making it increasingly difficult to ensure the integrity of information. AI presents new opportunities to support fact-checking and news classification. Join Giovanna Monti and Lucian Precup as they share insights from their work developing an AI-driven platform integrating search capabilities, an intelligent assistant and a RAG system.
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Duluth Man Indicted for Threatening Two U.S. Senators and their Families (US Department of Justice)
https://www.justice.gov/usao-ndga/pr/duluth-man-indicted-threatening-two-us-senators-and-their-families
http://www.memeorandum.com/250616/p152#a250616p152
Linkdump 20/2025 – #fundstücke
Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery
Hanxue Gu, Yaqian Chen, isoo Lee, Diego Schaps, Regina Woody, Roy Colglazier, Maciej A. Mazurowski, Christopher Mantyh
https://arxiv.org/abs/2506.11996
So the basic idea is that we first compute a "level" for whatever interaction, by adding beneficial modifiers and subtracting harmful ones. Imagine most modifiers are smallish integers like 2 or -3 (though they can be non-integers too). Each level can be thought of as making things twice as good/bad, although this only applies directly when they're balanced. The actual formula starts with a 50/50 chance of "success" at level 0, and then each positive level halves the chance of failure, or if the levels are negative, each negative level halves the chance of success (note that halving the chance of failure is not the same as doubling the chance of success).
The intuitive explanation is that you start with a coin flip. Then if the level is positive, you flip that many additional coins and succeed if any single coin succeeds, but it the level is negative, you have to flip that many additional coins and succeed only if *all* flips succeed.
For example, if I have a dagger with 5 crit chance, and I attack an opponent with no armor modifiers, I'd have to win any 1 of 6 coin flips to score a crit (p = 1 - (1/(2^6)) = 63/64. Increasing my crit modifier by 1 ups my chances only slightly, to 127/128. This is obviously pretty poor return, indicating that the 5 I already have is very strong. If the opponent had armor with -3 to crits, the interaction is now level 2, so the crit chance is 7/8, which is still pretty good. We can see from these examples that the basic system
rewards a small level advantage a lot, but the rewards diminish rapidly. The system has a few avenues for tweaking how it works though, that can let us modify this. There's also a potential benefit (though sometimes drawback) that no matter what the level gap, there's an effective limit to how much the interaction swings.
The Integral Decimation Method for Quantum Dynamics and Statistical Mechanics
Ryan T. Grimm, Alexander J. Staat, Joel D. Eaves
https://arxiv.org/abs/2506.11341
Analysis of Floating-Point Matrix Multiplication Computed via Integer Arithmetic
Ahmad Abdelfattah, Jack Dongarra, Massimiliano Fasi, Mantas Mikaitis, Fran\c{c}oise Tisseur
https://arxiv.org/abs/2506.11277
CIDRAP launches Vaccine Integrity Project | University of Minnesota https://twin-cities.umn.edu/news-events/cidrap-launches-vaccine-integrity-project