Tootfinder

On The Road - To Xi’An 🪭
在路上 - 去西安 🪭
📷 Minolta Hi-Matic AF
🎞️Kentmere Pan 200
#filmphotography #Photography #blackandwhite

And so it begins.
https://blog.google/around-the-globe/google-europe/we-are-announcing-sparkasse-as-our-first-national-credential-partner-for-eu-age-assurance/

We are announcing Sparkasse as our first national credential partner for EU age assurance.
The lack of a reliable standard for safe, effective age checks across sites and apps online has long frustrated parents and companies. Google’s Credential Manager API — backed by Google Wallet and zero-knowledge proof cryptography — has proven that it’s possible. What’s needed now is collaboration and initiative to bring about the future of digital identity.That begins now. At the Global Digital Collaboration Conference today in Geneva, Germany’s Sparkasse, a trusted network of 343 …

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance
Zhiqing Luo, Yi Wang, Yingying He, Wei Wang
https://arxiv.org/abs/2506.00837

Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance
Cooperative perception enables vehicles to share sensor readings and has become a new paradigm to improve driving safety, where the key enabling technology for realizing this vision is to real-time and accurately align and fuse the perceptions. Recent advances to align the views rely on high-density LiDAR data or fine-grained image feature representations, which however fail to meet the requirements of accuracy, real-time, and adaptability for autonomous driving. To this end, we present MMatch,…

Verifiable Natural Language to Linear Temporal Logic Translation: A Benchmark Dataset and Evaluation Suite
William H English, Chase Walker, Dominic Simon, Sumit Kumar Jha, Rickard Ewetz
https://arxiv.org/abs/2507.00877

Verifiable Natural Language to Linear Temporal Logic Translation: A Benchmark Dataset and Evaluation Suite
Empirical evaluation of state-of-the-art natural-language (NL) to temporal-logic (TL) translation systems reveals near-perfect performance on existing benchmarks. However, current studies measure only the accuracy of the translation of NL logic into formal TL, ignoring a system's capacity to ground atomic propositions into new scenarios or environments. This is a critical feature, necessary for the verification of resulting formulas in a concrete state space. Consequently, most NL-to-TL transla…

Feature-specific inhibitory connectivity augments the accuracy of cortical representations (in mouse V1) #neuroscience

Neural Autoregressive Modeling of Brain Aging
Ridvan Yesiloglu, Wei Peng, Md Tauhidul Islam, Ehsan Adeli
https://arxiv.org/abs/2507.22954 https://arxiv.org…

Neural Autoregressive Modeling of Brain Aging
Brain aging synthesis is a critical task with broad applications in clinical and computational neuroscience. The ability to predict the future structural evolution of a subject's brain from an earlier MRI scan provides valuable insights into aging trajectories. Yet, the high-dimensionality of data, subtle changes of structure across ages, and subject-specific patterns constitute challenges in the synthesis of the aging brain. To overcome these challenges, we propose NeuroAR, a novel brain aging…

Gold after Randomized Sand: Model-X Split Knockoffs for Controlled Transformation Selection
Yang Cao, Hangyu Lin, Xinwei Sun, Yuan Yao
https://arxiv.org/abs/2507.01732

Gold after Randomized Sand: Model-X Split Knockoffs for Controlled Transformation Selection
Controlling the False Discovery Rate (FDR) in variable selection is crucial for reproducibility and preventing over-selection, particularly with the increasing prevalence of predictive modeling. The Split Knockoff method, a recent extension of the canonical Knockoffs framework, offers finite-sample FDR control for selecting sparse transformations, finding applications across signal processing, economics, information technology, and the life sciences. However, its current formulation is limited …

Comparative Evaluation of Acoustic Feature Extraction Tools for Clinical Speech Analysis
Anna Seo Gyeong Choi, Alexander Richardson, Ryan Partlan, Sunny Tang, Sunghye Cho
https://arxiv.org/abs/2506.01129

Comparative Evaluation of Acoustic Feature Extraction Tools for Clinical Speech Analysis
This study compares three acoustic feature extraction toolkits (OpenSMILE, Praat, and Librosa) applied to clinical speech data from individuals with schizophrenia spectrum disorders (SSD) and healthy controls (HC). By standardizing extraction parameters across the toolkits, we analyzed speech samples from 77 SSD and 87 HC participants and found significant toolkit-dependent variations. While F0 percentiles showed high cross-toolkit correlation (r=0.962 to 0.999), measures like F0 standard devia…

Overly aggressive hummingbird is apparently trying to drive the cat and me off our back porch where the feeder hangs. Cat has had enough, now declining to even raise her head to look at it.

Continuum optical-UV and X-ray variability of AGN: current results and future challenges
Maurizio Paolillo, Iossif Papadakis
https://arxiv.org/abs/2506.23899

Continuum optical-UV and X-ray variability of AGN: current results and future challenges
Active Galactic Nuclei (AGN) are believed to be powered by accretion of matter onto a supermassive black hole. A fundamental ingredient in shaping our understanding of AGN is their variability across the entire electromagnetic spectrum. Variability studies have the potential to help us understand the geometry of the emitting regions (in various energy bands), their causal relations, and the physics of the accretion processes. This review focuses on the observational properties of AGN variabilit…