Tootfinder

De Russen
Google Maps can’t explain why it falsely labeled German autobahns as closed - Ars Technica
https://arstechnica.com/tech-policy/2025/05/google-maps-cant-explain-why-it-falsely-labeled-german-aut…

Love it. Wenn die Autobahnen virtuell so aussehen wie die Welt für Radfahrende in der Wirklichkeit.
#verkehrspolitik

July is near and I'm wondering if I can finish Final Fantasy VI Advance.
Is hard because I still leveling all characters for the final battle.
#ffvi #VGCJune2025 #finalfantasyvi

Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
Neta Glazer, David Chernin, Idan Achituve, Sharon Gannot, Ethan Fetaya
https://arxiv.org/abs/2505.23619

Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
Recent advancements in Text-to-Speech (TTS) models, particularly in voice cloning, have intensified the demand for adaptable and efficient deepfake detection methods. As TTS systems continue to evolve, detection models must be able to efficiently adapt to previously unseen generation models with minimal data. This paper introduces ADD-GP, a few-shot adaptive framework based on a Gaussian Process (GP) classifier for Audio Deepfake Detection (ADD). We show how the combination of a powerful deep e…

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research
Jun-Hsiang Yao, Mingzheng Li, Jiayi Liu, Yuxiao Li, Jielin Feng, Jun Han, Qibao Zheng, Jianfeng Feng, Siming Chen
https://arxiv.org/abs/2505.23730

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research
The Digital Twin Brain (DTB) is an advanced artificial intelligence framework that integrates spiking neurons to simulate complex cognitive functions and collaborative behaviors. For domain experts, visualizing the DTB's simulation outcomes is essential to understanding complex cognitive activities. However, this task poses significant challenges due to DTB data's inherent characteristics, including its high-dimensionality, temporal dynamics, and spatial complexity. To address these challenges,…

Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer
Yuansheng Li, Yunhao Zou, Linwei Chen, Ying Fu
https://arxiv.org/abs/2506.21880

Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer
Interferometric Hyperspectral Imaging (IHI) is a critical technique for large-scale remote sensing tasks due to its advantages in flux and spectral resolution. However, IHI is susceptible to complex errors arising from imaging steps, and its quality is limited by existing signal processing-based reconstruction algorithms. Two key challenges hinder performance enhancement: 1) the lack of training datasets. 2) the difficulty in eliminating IHI-specific degradation components through learning-base…

Kuivuus koettelee jo 40 prosenttia maapallosta #ympäristö

Kuivuus koettelee jo 40 prosenttia maapallosta
Ilmastonmuutoksen myötä kuivuus pahenee. OECD on laskenut kuivuuden hintalappoa maataloudelle: raportin mukaan kuivuuden ennustetaan vuonna 2035 aiheuttavan kustannuksia vähintään 35 prosenttia enemmän kuin nykyään.

Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data
G. Zacharegkas, C. Chang, J. Prat, W. Hartley, S. Mucesh, A. Alarcon, O. Alves, A. Amon, K. Bechtol, M. R. Becker, G. Bernstein, J. Blazek, A. Campos, A. Carnero Rosell, M. Carrasco Kind, R. Cawthon, R. Chen, A. Choi, J. Cordero, C. Davis, J. Derose, H. Diehl, S. Dodelson, C. Doux, A. Drlica-Wagner, K. Eckert, T. F. Eifler, J. Elvin-Poole, S. Everett, X. Fang, A. Ferte, M. Gatti,…

Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data
We develop a framework to study the relation between the stellar mass of a galaxy and the total mass of its host dark matter halo using galaxy clustering and galaxy-galaxy lensing measurements. We model a wide range of scales, roughly from $\sim 100 \; {\rm kpc}$ to $\sim 100 \; {\rm Mpc}$, using a theoretical framework based on the Halo Occupation Distribution and data from Year 3 of the Dark Energy Survey (DES) dataset. The new advances of this work include: 1) the generation and validation o…

Ultrasonic spin pumping in the antiferromagnetic acoustic resonator $\alpha-\text{Fe}_2\text{O}_3$
David A. Gabrielyan, Dmitry A. Volkov, Tatyana V. Bogdanova, Kristina D. Samoylenko, Anton V. Matasov, Ansar R. Safin, Dmitry V. Kalyabin, Alexey A. Klimov, Leonid M. Krutyansky, Vladimir L. Preobrazhensky, Sergey A. Nikitov
https://

Ultrasonic spin pumping in the antiferromagnetic acoustic resonator $α-\text{Fe}_2\text{O}_3$
Recent advances in magnon spintronics have ignited interest in the interactions between the spin and elastic subsystems of magnetic materials. These interactions suggest a dynamic connection between collective excitations of spins, quantized as magnons, and elastic waves generated by perturbations in the crystal lattice, quantized as phonons. Both magnons and their associated magnon-phonon excitations can act as sources of spin pumping from magnetic materials into non-magnetic metals. Although …