Tootfinder

Data privacy experts are calling on the government to urgently tighten regulation around facial recognition technology, amid growing concerns over its unregulated use by police forces and private companies across the UK.
https://www.computing.co.uk/news/202…

Government urged to tighten regulation around facial recognition technology
Data privacy experts are calling on the government to urgently tighten regulation around facial recognition technology, amid growing concerns over its unregulated use by police ...

This https://arxiv.org/abs/2505.08944 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Toward Cost-Efficient Serving of Mixture-of-Experts with Asynchrony
Mixture-of-Experts (MoE) architectures offer the promise of larger model capacity without the prohibitive costs of fully dense designs. However, in real-world inference serving, load skew across experts often leads to suboptimal device utilization and excessive synchronization overheads. This paper introduces Asynchronous Expert Parallelism (AEP), a new paradigm that decouples layer execution from barrier-style synchronization. By dynamically queuing tokens at each layer (referred to as $μ$-qu…

Neural Face Skinning for Mesh-agnostic Facial Expression Cloning
Sihun Cha, Serin Yoon, Kwanggyoon Seo, Junyong Noh
https://arxiv.org/abs/2505.22416 https:…

Neural Face Skinning for Mesh-agnostic Facial Expression Cloning
Accurately retargeting facial expressions to a face mesh while enabling manipulation is a key challenge in facial animation retargeting. Recent deep-learning methods address this by encoding facial expressions into a global latent code, but they often fail to capture fine-grained details in local regions. While some methods improve local accuracy by transferring deformations locally, this often complicates overall control of the facial expression. To address this, we propose a method that combi…

NYT and Amazon agree to a content licensing deal for use in Amazon's AI platforms and to bring the NYT's "content to a variety of Amazon customer experiences" (New York Times)
https://www.nytimes.com/2025/05/29/business/m…

The Times and Amazon Announce an A.I. Licensing Deal
In 2023, The Times sued OpenAI and Microsoft for copyright infringement. Now its editorial content will appear across Amazon platforms.

Efficient Multilingual ASR Finetuning via LoRA Language Experts
Jiahong Li, Yiwen Shao, Jianheng Zhuo, Chenda Li, Liliang Tang, Dong Yu, Yanmin Qian
https://arxiv.org/abs/2506.21555

Efficient Multilingual ASR Finetuning via LoRA Language Experts
Recent advancements in deep learning have significantly enhanced multilingual automatic speech recognition (ASR) due to the development of advanced model architectures and available large-scale multilingual datasets. Despite that, multilingual ASR still suffers from the curse of multilinguality in that different languages tend to interfere with each other, making it difficult for the ASR model to identify multiple languages effectively while sharing model capacity across them. This paper propos…

This https://arxiv.org/abs/2502.08166 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
When an individual reports a negative interaction with some system, how can their personal experience be contextualized within broader patterns of system behavior? We study the reporting database problem, where individual reports of adverse events arrive sequentially, and are aggregated over time. In this work, our goal is to identify whether there are subgroups--defined by any combination of relevant features--that are disproportionately likely to experience harmful interactions with the syste…

This https://arxiv.org/abs/2306.16904 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Endogenous Barriers to Learning
Building on the idea that lack of experience is a source of errors but that experience should reduce them, we model agents' behavior using a stochastic choice model (logit quantal response), leaving endogenous the accuracy of their choices. In some games, higher accuracy leads to unstable logit-response dynamics. Starting from the lowest possible accuracy, we define the barrier to learning as the maximum accuracy which keeps the logit-response dynamic stable (for all lower accuracies). This def…

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models
Zihan Wang, Rui Pan, Jiarui Yao, Robert Csordas, Linjie Li, Lu Yin, Jiajun Wu, Tong Zhang, Manling Li, Shiwei Liu
https://arxiv.org/abs/2506.18945

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models
We propose Chain-of-Experts (CoE), a new Mixture-of-Experts (MoE) architecture that introduces sequential expert communication within each layer. Unlike traditional MoE models, where experts operate independently in parallel, CoE processes tokens iteratively across a chain of experts inside a layer. To support dynamic expert selection across iterations, CoE employs a dedicated router at each iteration step within a layer. This design allows tokens to re-evaluate and select different experts dur…

Ok, ich wusste, dass wir nicht so beliebt sind. Aber dass man jetzt in den Medien «Schweizer» anstelle «korrupter Funktionär» schreibt, finde ich etwas fies.
Und wenn der Infantilo Dir eine Garantie gibt, dann weisst Du, dass Du so schnell als möglich wegrennen musst. 😱

Zig Grossanlässe in den USA - Donald Trumps Politik wirft Schatten auf die Sportwelt
Der US-Präsident ist seit 100 Tagen im Amt. Seine angestossenen Veränderungen haben auch Auswirkungen auf den Sport.

Study of the Turbulent/Non-turbulent Interface of Zero-Pressure-Gradient Turbulent Boundary Layer Using the Uniform Momentum Zone Concept
Bihai Sun, Callum Atkinson, Julio Soria
https://arxiv.org/abs/2505.23589

Study of the Turbulent/Non-turbulent Interface of Zero-Pressure-Gradient Turbulent Boundary Layer Using the Uniform Momentum Zone Concept
This paper investigates the turbulent--non-turbulent interface (TNTI) in a zero-pressure-gradient turbulent boundary layer (ZPG-TBL) using a novel, threshold-free method based on the uniform momentum zone (UMZ) concept. Requiring only planar streamwise velocity data, the method is directly applicable to experimental PIV and ensures consistent TNTI detection across simulations and experiments. Its performance is demonstrated using DNS data at $Re_τ= 1,000 - 2,000$. The TNTI height scales with t…