Tootfinder

Bei dem Begriff "AI Literacy" handelt es sich um ein Oxymoron:
https://open.substack.com/pub/themindfile/p/against-ai-literacy-have-we…

Against AI literacy: have we actually found a way to reverse learning?
So let’s get one thing out of the way: I think “AI literacy” is a dangerous device of neoliberal education and it deserves to be dismissed out of hand.

Best of the Left podcast - Building an Organized Left, the Eternal Oxymoron
https://www.bestoftheleft.com/1720
Please listen and act!
We need to preserve what independence we have.
@…

#1720 Building an Organized Left, the Eternal Oxymoron
The militarization of Trump's deportation regime and response to protesters is the clearest example of his desire to implement a fully authoritarian government. Pure and simple.

Fault-tolerant Model Predictive Control for Spacecraft
Raphael St\"ockner, Pedro Roque, Maria Charitidou, Dimos V. Dimarogonas
https://arxiv.org/abs/2509.02527 https://

Fault-tolerant Model Predictive Control for Spacecraft
Given the cost and critical functions of satellite constellations, ensuring mission longevity and safe decommissioning is essential for space sustainability. This article presents a Model Predictive Control for spacecraft trajectory and setpoint stabilization under multiple actuation failures. The proposed solution allows us to efficiently control the faulty spacecraft enabling safe navigation towards servicing or collision-free trajectories. The proposed scheme ensures closed-loop asymptotic s…

T CrB: overview of the accretion history, Roche-lobe filling, orbital solution, and radiative modeling
U. Munari, F. Walter, N. Masetti, P. Valisa, S. Dallaporta, A. Bergamini, G. Cherini, A. Frigo, A. Maitan, C. Marino, G. Mazzacurati, S. Moretti, F. Tabacco, S. Tomaselli, A. Vagnozzi, P. Ochner, I. Albanese
https://arxiv.org/abs/2507.233…

T CrB: overview of the accretion history, Roche-lobe filling, orbital solution, and radiative modeling
(abridged) We aim to derive a robust estimate of the most important parameters describing the physical nature of T CrB, trace the accretion history onto its white dwarf, and account for the unexpected delay in the occurrence of the new outburst: the SAP prior to 1946 was brighter, and it was followed by the nova eruption within 6 months from its conclusion. This time the 2015-2023 SAP has been fainter and two years past its conclusion no new eruption has yet taken place. During 2005-2025, a per…

Evaluating Sound Similarity Metrics for Differentiable, Iterative Sound-Matching
Amir Salimi, Abram Hindle, Osmar R. Zaiane
https://arxiv.org/abs/2506.22628

Evaluating Sound Similarity Metrics for Differentiable, Iterative Sound-Matching
Manual sound design with a synthesizer is inherently iterative: an artist compares the synthesized output to a mental target, adjusts parameters, and repeats until satisfied. Iterative sound-matching automates this workflow by continually programming a synthesizer under the guidance of a loss function (or similarity measure) toward a target sound. Prior comparisons of loss functions have typically favored one metric over another, but only within narrow settings: limited synthesis methods, few l…

Imprints of gravitational-wave polarizations on projected tidal tensor in three dimensions
Yusuke Mikura, Teppei Okumura, Misao Sasaki
https://arxiv.org/abs/2507.23302 https://

Imprints of gravitational-wave polarizations on projected tidal tensor in three dimensions
Gravitational waves (GWs) distort galaxy shapes through the tidal effect, offering a novel avenue to probe the nature of gravity. In this paper, we investigate how extra GW polarizations beyond those predicted by general relativity imprint observable signatures on galaxy shapes. Since galaxy shapes are measured as two-dimensional images projected onto the celestial sphere, we present three-dimensional statistical quantities of the projected tidal tensor sourced by the tensor perturbation. We sh…

Attention Mechanism in Randomized Time Warping
Yutaro Hiraoka, Kazuya Okamura, Kota Suto, Kazuhiro Fukui
https://arxiv.org/abs/2508.16366 https://arxiv.org…

Attention Mechanism in Randomized Time Warping
This paper reveals that we can interpret the fundamental function of Randomized Time Warping (RTW) as a type of self-attention mechanism, a core technology of Transformers in motion recognition. The self-attention is a mechanism that enables models to identify and weigh the importance of different parts of an input sequential pattern. On the other hand, RTW is a general extension of Dynamic Time Warping (DTW), a technique commonly used for matching and comparing sequential patterns. In essence,…

Effect of Haptic Feedback on Avoidance Behavior and Visual Exploration in Dynamic VR Pedestrian Environment
Kyosuke Ishibashi, Atsushi Saito, Zin Y. Tun, Lucas Ray, Megan C. Coram, Akihiro Sakurai, Allison M. Okamura, Ko Yamamoto
https://arxiv.org/abs/2506.20952

Effect of Haptic Feedback on Avoidance Behavior and Visual Exploration in Dynamic VR Pedestrian Environment
Human crowd simulation in virtual reality (VR) is a powerful tool with potential applications including emergency evacuation training and assessment of building layout. While haptic feedback in VR enhances immersive experience, its effect on walking behavior in dense and dynamic pedestrian flows is unknown. Through a user study, we investigated how haptic feedback changes user walking motion in crowded pedestrian flows in VR. The results indicate that haptic feedback changed users' collision av…

EVAluation of the Equivalent Vector Boson Approximation at highest energy colliders
Benjamin Dahl\'en, Maximilian L\"oschner, Krzysztof M\k{e}ka{\l}a, J\"urgen Reuter, Panagiotis Stylianou
https://arxiv.org/abs/2507.19285

EVAluation of the Equivalent Vector Boson Approximation at highest energy colliders
Collider processes at the highest available partonic center-of-mass energies - 10 TeV and above - exhibit a new regime of electroweak interactions where electroweak gauge bosons mostly act as quasi-massless partons in vector boson fusion processes. We scrutinize these processes using the Equivalent Vector boson Approximation (EVA) based on its implementation in the Monte Carlo generator framework Whizard. Using a variety of important physics processes, including top pairs, Higgs pairs, neutrino…

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination
Michael Amir, Guang Yang, Zhan Gao, Keisuke Okumura, Heedo Woo, Amanda Prorok
https://arxiv.org/abs/2507.19151

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination
Constraint-based optimization is a cornerstone of robotics, enabling the design of controllers that reliably encode task and safety requirements such as collision avoidance or formation adherence. However, handcrafted constraints can fail in multi-agent settings that demand complex coordination. We introduce ReCoDe--Reinforcement-based Constraint Design--a decentralized, hybrid framework that merges the reliability of optimization-based controllers with the adaptability of multi-agent reinforce…