Tootfinder

Opera says in the 12 months ending with October, it saw a 88% surge in daily active iOS users across Europe, partly due to the changes mandated by the DMA (Marcus Mendes/9to5Mac)
https://9to5mac.com/2025/11/13/opera-ios-growth-europe-dma/

Opera says DMA contributed to 5x growth of iOS users in Europe - 9to5Mac
Operas iOS user base in Europe has grown by as much as five times since the Digital Markets Act took effect in 2024.

A total of 90 additional EV charging hubs are set to be built across Ireland thanks to €9.9 million of public funding, which will improve public charging coverage.
https://www.gov.ie/en/department-of-transport/press-relea…

Media across the ideological spectrum said they will not sign the Defense Department’s restrictive new press policy by Tuesday’s afternoon deadline.
The Washington Post, the New York Times and CNN said they wouldn’t sign, as did Newsmax and the Washington Times.

Matt Murray, The Post’s executive editor, said the policy runs counter to the Constitution’s guarantee of freedom of the press.

News outlets broadly reject Pentagon rules before signing deadline
The Washington Post and other major news outlets have refused to sign the Defense Department’s restrictive new media policy, citing First Amendment concerns.

Whole Body Model Predictive Control for Spin-Aware Quadrupedal Table Tennis
David Nguyen, Zulfiqar Zaidi, Kevin Karol, Jessica Hodgins, Zhaoming Xie
https://arxiv.org/abs/2510.08754

Whole Body Model Predictive Control for Spin-Aware Quadrupedal Table Tennis
Developing table tennis robots that mirror human speed, accuracy, and ability to predict and respond to the full range of ball spins remains a significant challenge for legged robots. To demonstrate these capabilities we present a system to play dynamic table tennis for quadrupedal robots that integrates high speed perception, trajectory prediction, and agile control. Our system uses external cameras for high-speed ball localization, physical models with learned residuals to infer spin and pred…

Man, today's Metacurity is packed with tons of critical infosec developments you should know, including
--Google sues Chinese smishing giant Lighthouse Enterprise for scams across 120 countries,
--UK proposes new cyberattack defenses,
--UK to allow tests of AI systems to gauge CSAM potential,
--Oz spy chief says China probed country's telecom networks,
--China blames US gov't for $13B LuBian theft,
--Google unveils Private AI Compute,
--M…

Google sues Chinese smishing giant Lighthouse Enterprise for scams across 120 countries
UK proposes new cyberattack defenses, UK to allow tests of AI systems to gauge CSAM potential, Oz spy chief says China probed country's telecom networks, China blames US gov't for $13b LuBian theft, Google unveils Private AI Compute, MSFT issues fixes for 63 flaws, much more

Data center proposals are facing growing opposition from towns across the US, as residents and officials raise concerns about water and electricity use (Daniel Wu/Washington Post)

Towns are saying no to AI data centers. One got sued over it.
A developer sued a Michigan township after it voted against a data center proposal. Cities in Ohio and Missouri have explored data center bans.

FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes
Shouxu Lin, Zimeng Pan, Yuhang Yao, Haeyoung Noh, Pei Zhang, Carlee Joe-Wong
https://arxiv.org/abs/2510.10380

FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes
Multi-Model Federated Learning (MMFL) is an emerging direction in Federated Learning (FL) where multiple models are trained in parallel, generally on various datasets. Optimizing the models' accuracies and training times in the MMFL setting requires adapting to data and system heterogeneity across clients as in single-model FL; these challenges are amplified in the MMFL setting due to additional heterogeneity across models. Neither existing solutions nor naïve extensions of single-model FL fra…

Starvation is now being used as a weapon of war in numerous conflicts across the globe
— including Sudan, which continues to endure a yearslong famine.
Dr. Tanya Haj-Hassan, a pediatric doctor who just returned from Sudan, says that the famine is man-made
https://www.democracynow.org/2025/10/6/fam

Man-Made Famine & Malnutrition in Sudan, Exacerbated by U.S. Aid Cuts
Starvation is now being used as a weapon of war in numerous conflicts across the globe — including Sudan, which continues to endure a yearslong famine. Dr. Tanya Haj-Hassan, a pediatric doctor who just returned from Sudan, says that the famine is man-made. “Atrocities in Palestine, atrocities in Sudan that relate to malnutrition, that relate to famine, are a consequence of underlying structures that enable these things to happen,” says Haj-Hassan, who also volunteered in Gaza.

Environmental Regulation of Dust and Star Formation Unveiled by Subaru Dual Narrow-band Imaging: Degree-scale Balmer Decrement Mapping across a z = 0.9 Supercluster
Zhaoran Liu, Tadayuki Kodama, Brian C. Lemaux, Mariko Kubo, Jose Manuel P\'erez-Mart\'inez, Yusei Koyama, Ichi Tanaka, Kazuki Daikuhara, Roy R. Gal, Denise Hung, Masahiro Konishi, Kosuke Kushibiki, Ronaldo Laishram, Lori M. Lubin, Kentaro Motohara, Hidenori Takahashi

Environmental Regulation of Dust and Star Formation Unveiled by Subaru Dual Narrow-band Imaging: Degree-scale Balmer Decrement Mapping across a z = 0.9 Supercluster
We present results from a dual narrow-band imaging survey targeting the CL1604 supercluster at z = 0.9 using the Subaru Telescope. By combining the NB921 filter on HSC and the NB1244 filter on SWIMS, we can detect redshifted H$α$ and H$β$ emission lines from the supercluster. This unique technique allows us to measure both star formation rates and dust extinction for a sample of 94 emission-line galaxies across the supercluster. We find that dust extinction, estimated from the Balmer decremen…

MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval
Siyue Zhang, Yuan Gao, Xiao Zhou, Yilun Zhao, Tingyu Song, Arman Cohan, Anh Tuan Luu, Chen Zhao
https://arxiv.org/abs/2510.09510

MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval
We introduce MRMR, the first expert-level multidisciplinary multimodal retrieval benchmark requiring intensive reasoning. MRMR contains 1,502 queries spanning 23 domains, with positive documents carefully verified by human experts. Compared to prior benchmarks, MRMR introduces three key advancements. First, it challenges retrieval systems across diverse areas of expertise, enabling fine-grained model comparison across domains. Second, queries are reasoning-intensive, with images requiring deepe…