Tootfinder

Speculative Design of Equitable Robotics: Queer Fictions and Futures
Minja Axelsson
https://arxiv.org/abs/2509.01643 https://arxiv.org/pdf/2509.01643

Speculative Design of Equitable Robotics: Queer Fictions and Futures
This paper examines the speculative topic of equitable robots through an exploratory essay format. It focuses specifically on robots by and for LGBTQ+ populations. It aims to provoke thought and conversations in the field about what aspirational queer robotics futures may look like, both in the arts and sciences. First, it briefly reviews the state-of-the-art of queer robotics in fiction and science, drawing together threads from each. Then, it discusses queering robots through three speculativ…

"Please do not use Google AI to find out our specials. Please go on our Facebook page or our website,"
the restaurant wrote in a weary Facebook post.
"Google AI is not accurate and is telling people specials that do not exist
which is causing angry customers yelling at our employees."
https://

Local Restaurant Exhausted as Google AI Keeps Telling Customers About Daily Specials That Don't Exist
A restaurant is begging its customers to please stop using notoriously unreliable Google AI to ask about its menu items.

Folgende Features sind enthalten:
* alles an einem Ort
* zum ersten Mal
* für multimodale Daten
* filterbasiert und
* über eine grafische User Interface
* einschließlich einer speziellen Incipit-Suche für notierte Musik 🎼 🎹
* einschließlich einer KI-basierten Bildähnlichkeitssuche 🖼️
📬 Da es sich um eine erste Version handelt, freuen wir uns über er Feedback unter contact@nfdi4culture.de oder beantworten gerne alle weiteren Fragen unter

Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs
Dingdong Wang, Junan Li, Mingyu Cui, Dongchao Yang, Xueyuan Chen, Helen Meng
https://arxiv.org/abs/2508.17863

Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs
With the rise of Speech Large Language Models (SpeechLLMs), two dominant approaches have emerged for speech processing: discrete tokens and continuous features. Each approach has demonstrated strong capabilities in audio-related processing tasks. However, the performance gap between these two paradigms has not been thoroughly explored. To address this gap, we present a fair comparison of self-supervised learning (SSL)-based discrete and continuous features under the same experimental settings. …

Quantum Phase Sensitivity with Generalized Coherent States Based on Deformed su(1,1) and Heisenberg Algebras
N. E. Abouelkhir, A. Slaoui, R. Ahl Laamara
https://arxiv.org/abs/2508.21779

Quantum Phase Sensitivity with Generalized Coherent States Based on Deformed su(1,1) and Heisenberg Algebras
We investigate the phase sensitivity of a Mach Zehnder interferometer using a special class of generalized coherent states constructed from generalized Heisenberg and deformed su(1,1) algebras. These states, derived from a perturbed harmonic oscillator with a four parameter deformed spectrum, provide enhanced tunability and nonclassical features. The quantum Fisher information and its associated quantum Cramér-Rao bound are used to define the fundamental precision limits in phase estimation. W…

Purdue University's student newspaper The Exponent took 3,000 "solidarity" issues to Indiana University, after IU cut the Indiana Daily Student's print edition (Brian Rosenzweig/The Herald-Times)
https://www…

Purdue student journalists deliver special 'solidarity' newspaper to IU Bloomington campus
The special edition blasted across town features columns from IDS and Exponent editors, alongside QR codes to support both student papers.

"Dutch heating specialist offers residential heat pump for flat roofs"
#Netherlands #HeatPumps #Energy

Dutch heating specialist offers residential heat pump for flat roofs
WeHeat said its monoblock air-to-water heat pump features a seasonal coefficient of performance of 4.7 and propane as the refrigerant. The system is available in four versions with output ranging from 8 kW to 11 kW.

X-ray polarization in radio-quiet AGN: Insights from the wedge corona model using Monte Carlo simulations
D. Tagliacozzo, S. Bianchi. V. Gianolli, A. Gnarini, A. Marinucci, G. Matt, F. Ursini, W. Zhang
https://arxiv.org/abs/2508.21203

X-ray polarization in radio-quiet AGN: Insights from the wedge corona model using Monte Carlo simulations
In this study, we present novel calculations of X-ray polarization from radio-quiet and unobscured active galactic nuclei (AGNs) using the Monte Carlo code MONK, which includes all general and special relativity effects. Our geometric model, referred to as the ``wedge corona'', features a homogeneous cloud of electrons characterized by an aspect ratio of h/r and a radius that extends down to the innermost stable circular orbit around the central black hole (BH). Adopting the physical parameters…

Introducing Multimodal Paradigm for Learning Sleep Staging PSG via General-Purpose Model
Jianheng Zhou, Chenyu Liu, Jinan Zhou, Yi Ding, Yang Liu, Haoran Luo, Ziyu Jia, Xinliang Zhou
https://arxiv.org/abs/2509.22810

Introducing Multimodal Paradigm for Learning Sleep Staging PSG via General-Purpose Model
Sleep staging is essential for diagnosing sleep disorders and assessing neurological health. Existing automatic methods typically extract features from complex polysomnography (PSG) signals and train domain-specific models, which often lack intuitiveness and require large, specialized datasets. To overcome these limitations, we introduce a new paradigm for sleep staging that leverages large multimodal general-purpose models to emulate clinical diagnostic practices. Specifically, we convert raw …

SHMoAReg: Spark Deformable Image Registration via Spatial Heterogeneous Mixture of Experts and Attention Heads
Yuxi Zheng, Jianhui Feng, Tianran Li, Marius Staring, Yuchuan Qiao
https://arxiv.org/abs/2509.20073

SHMoAReg: Spark Deformable Image Registration via Spatial Heterogeneous Mixture of Experts and Attention Heads
Encoder-Decoder architectures are widely used in deep learning-based Deformable Image Registration (DIR), where the encoder extracts multi-scale features and the decoder predicts deformation fields by recovering spatial locations. However, current methods lack specialized extraction of features (that are useful for registration) and predict deformation jointly and homogeneously in all three directions. In this paper, we propose a novel expert-guided DIR network with Mixture of Experts (MoE) mec…