Tootfinder

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines
Athena Vakali, Ilias Dimitriadis
https://arxiv.org/abs/2506.09107 https:…

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines
AI models have become active decision makers, often acting without human supervision. The rapid advancement of AI technology has already caused harmful incidents that have hurt individuals and societies and AI unfairness in heavily criticized. It is urgent to disrupt AI pipelines which largely neglect human principles and focus on computational biases exploration at the data (pre), model(in), and deployment (post) processing stages. We claim that by exploiting the advances of agents technology,…

I had this idea for a Cairn lifepath generator where there are three stages of life and you roll 1d6 for your stats at each stage, and also get appropriate items.
It has not been playtested, it's barely been proofread, but I've been having a lot of fun generating guys
perchance.org/lt8m69fg35
#ttrpg #CairnRpg

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
Achim Hekler, Lukas Kuhn, Florian Buettner
https://arxiv.org/abs/2506.09593

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
Reliable uncertainty calibration is essential for safely deploying deep neural networks in high-stakes applications. Deep neural networks are known to exhibit systematic overconfidence, especially under distribution shifts. Although foundation models such as ConvNeXt, EVA and BEiT have demonstrated significant improvements in predictive performance, their calibration properties remain underexplored. This paper presents a comprehensive investigation into the calibration behavior of foundation mo…

Ask yourself: How many water bottles thrown at cops are worth keeping one innocent American* teen out of inhumane #ICE detention?
For anyone criticizing the #LA protests or suggesting they should stop for any reason, let's be clear about the stakes. Read this article (or my summary):
https://abcnews.go.com/US/massachusetts-teen-detained-ice-family-video-ice/story?id=122511685
This 18-year-old was snatched without a warrant, because he was in his dad's car and allegedly (possibly a lie or mistake) his dad drove recklessly. He's been in the US since he was 5, originally on a student visa that's since expired. He is an innocent American, by any reasonable definition of those two words*. Thankfully, he's since been released on bail, but he may yet be held indefinitely in ICE detention (in inhumane conditions that have been repeatedly documented) and/or separated from his family & friends and shipped off to Brazil where he last lived when he was 5 (ICE does not care whether he speaks Portuguese, has any family there, etc), all potentially without due process (though he seems to be getting that in this case). Even if this doesn't happen to Marcelo due to the media attention & protests, it is certainly happening to other innocent Americans throughout the country who aren't as lucky to have people standing up for them.
Here's Marcelo speaking about detention conditions and those he was detained with:
https://youtube.com/shorts/ZpZMUb9aEys?si=bpK-022CU7Acb5RY
Do you know how many kids like Marcelo were detained in LA yesterday? Probably zero, because of the protests, including their confrontational tactics. The most "violence" I've seen (from the protestors) is throwing a water bottle at a line of heavily-armored riot police. So the protests are working to protect the community. If you're suggesting a change in tactics, consider whether your suggested tactics (like pre-scheduled non-confrontational protests that have been happening for weeks) will protect the Marcelos of LA.
*Whether he's innocent or American should not in fact matter, but sadly it might to some reading this. If that's you, you've still got some growing up to do.

On the Batch Size Selection in Stochastic Gradient Methods Using No-Replacement Sampling
Marco Boresta, Alberto De Santis, Stefano Lucidi
https://arxiv.org/abs/2506.08758

On the Batch Size Selection in Stochastic Gradient Methods Using No-Replacement Sampling
Recent stochastic gradient methods that have appeared in the literature base their efficiency and global convergence properties on a suitable control of the variance of the gradient batch estimate. This control is typically achieved by dynamically increasing the batch size during the iterations of the algorithm. However, in the existing methods the statistical analysis often relies on sampling with replacement. This particular batch selection appears unrealistic in practice. In this paper, we c…

An Explainable Deep Learning Framework for Brain Stroke and Tumor Progression via MRI Interpretation
Rajan Das Gupta, Md Imrul Hasan Showmick, Mushfiqur Rahman Abir, Shanjida Akter, Md. Yeasin Rahat, Md. Jakir Hossen
https://arxiv.org/abs/2506.09161

An Explainable Deep Learning Framework for Brain Stroke and Tumor Progression via MRI Interpretation
Early and accurate detection of brain abnormalities, such as tumors and strokes, is essential for timely intervention and improved patient outcomes. In this study, we present a deep learning-based system capable of identifying both brain tumors and strokes from MRI images, along with their respective stages. We have executed two groundbreaking strategies involving convolutional neural networks, MobileNet V2 and ResNet-50-optimized through transfer learning to classify MRI scans into five diagno…

Ich habe knapp 1.200 Kilometer mit dem Zug zurückgelegt, um mich in einer stickigen polnischen Fabrikhalle mit voller Lautstärke anbrüllen zu lassen. Und ich liebe alles daran. 😍🤘 #metal #lornashore

Machine Learning Left-Right Breaking from Gravitational Waves
William Searle, Csaba Bal\'azs, Yang Xiao, Yang Zhang
https://arxiv.org/abs/2506.09319 ht…

Machine Learning Left-Right Breaking from Gravitational Waves
First-order phase transitions in the early universe can generate stochastic gravitational waves (GWs), offering a unique probe of high-scale particle physics. The Left-Right Symmetric Model (LRSM), which restores parity symmetry at high energies and naturally incorporates the seesaw mechanism, allows for such transitions -- particularly during the spontaneous breaking of $SU(2)_R \times SU(2)_L \times U(1)_{B-L} \to SU(2)_L \times U(1)_Y$. This initial step, though less studied, is both theoret…