Tootfinder

Sources: the EU and US are delaying formalizing their trade deal over "non-tariff barriers", including relaxing the DSA, which the EU sees as a red line (Financial Times)
https://www.ft.com/content/3f67b6ca-7259-4612-8e51-12b497128552

Senators Say Trump Nominated Judge To Their State They've Never Even Met (Jennifer Bendery/HuffPost)
https://www.huffpost.com/entry/trump-tariffs-white-house-latest_n_686ec29fe4b09bd98fe4be7e/liveblog_687a685fe4b00f995df53789
http://www.memeorandum.com/250718/p82#a250718p82

Podcast recommendation: The @… Podcast "How to fix the Internet" talks with @…, founder of the @…

Podcast Episode: Building and Preserving the Library of Everything
All this season, “How to Fix the Internet” has been focusing on the tools and technology of freedom – and one of the most important tools of freedom is a library. Access to knowledge not only creates an informed populace that democracy requires, but also gives people the tools they need to thrive....

My favorite photo from a recent trip to the West Coast.
#VictoriaBC #photography

Publicly Verifiable Private Information Retrieval Protocols Based on Function Secret Sharing
Lin Zhu, Lingwei Kong, Xin Ning, Xiaoyang Qu, Jianzong Wang
https://arxiv.org/abs/2509.13684

Publicly Verifiable Private Information Retrieval Protocols Based on Function Secret Sharing
Private Information Retrieval (PIR) is a fundamental cryptographic primitive that enables users to retrieve data from a database without revealing which item is being accessed, thereby preserving query privacy. However, PIR protocols also face the challenge of result verifiability, as users expect the reconstructed data to be trustworthy and authentic. In this work, we propose two effective constructions of publicly verifiable PIR (PVPIR) in the multi-server setting, which achieve query privacy…

Character-Centric Understanding of Animated Movies
Zhongrui Gui, Junyu Xie, Tengda Han, Weidi Xie, Andrew Zisserman
https://arxiv.org/abs/2509.12204 https://

Character-Centric Understanding of Animated Movies
Animated movies are captivating for their unique character designs and imaginative storytelling, yet they pose significant challenges for existing recognition systems. Unlike the consistent visual patterns detected by conventional face recognition methods, animated characters exhibit extreme diversity in their appearance, motion, and deformation. In this work, we propose an audio-visual pipeline to enable automatic and robust animated character recognition, and thereby enhance character-centric…

Efficient Artifacts Removal for Adaptive Deep Brain Stimulation and a Temporal Event Localization Analysis
Tzu-Chi Liu, Po-Lin Chen, Yi-Chieh Chen, Po-Hsun Tu, Chih-Hua Yeh, Mun-Chun Yeap, Chiung-Chu Chen, Hau-Tieng Wu
https://arxiv.org/abs/2508.11459

Efficient Artifacts Removal for Adaptive Deep Brain Stimulation and a Temporal Event Localization Analysis
Adaptive deep brain stimulation (aDBS) leverages symptom-related biomarkers to deliver personalized neuromodulation therapy, with the potential to improve treatment efficacy and reduce power consumption compared to conventional DBS. However, stimulation-induced signal contamination remains a major technical barrier to advancing its clinical application. Existing artifact removal strategies, both front-end and back-end, face trade-offs between artifact suppression and algorithmic flexibility. Am…

Netflix is merging Scanline, the VFX company it acquired in 2021, with Eyeline, its virtual production and R&D unit, to form a one-stop shop for digital tools (Lucas Manfredi/The Wrap)
https://www.thewrap.com/netflix-scanline-vfx-eyeline-studios-m…

Inside Netflix's Bid to Supercharge Faster, Cheaper VFX Through Virtual Production and AI | Exclusive
Eyeline CEO Jeff Shapiro and Studio head Kevin Baillie pull back the curtain on the division's work, research and tools, from volumetric capture to generative AI

Biden undergoes radiation therapy for cancer, spokesperson says (Bonny Chu/Fox News)
https://www.foxnews.com/politics/biden-undergoes-radiation-therapy-cancer-spokesperson-says
http://www.memeorandum.com/251011/p61#a251011p61

FACE: Faithful Automatic Concept Extraction
Dipkamal Bhusal, Michael Clifford, Sara Rampazzi, Nidhi Rastogi
https://arxiv.org/abs/2510.11675 https://arxiv.…

FACE: Faithful Automatic Concept Extraction
Interpreting deep neural networks through concept-based explanations offers a bridge between low-level features and high-level human-understandable semantics. However, existing automatic concept discovery methods often fail to align these extracted concepts with the model's true decision-making process, thereby compromising explanation faithfulness. In this work, we propose FACE (Faithful Automatic Concept Extraction), a novel framework that augments Non-negative Matrix Factorization (NMF) with…