Tootfinder

AI bots playing music for other bots. A signpost along the way to our Matrix-like future
https://futurism.com/ai-band-spotify-streams

An "Indie Rock Band" That Appears to Be Entirely AI-Generated Is Making Alarming Amounts of Money on Spotify
While real artists struggle to earn money on Spotify, a seemingly AI-generated band has garnered enough streams to actually make a buck. 

Precise Asteroseismic Ages for the Helmi Streams
Christopher J. Lindsay, Marc Hon, J. M. Joel Ong, Rafael A. Garc\'ia, Dinil B. Palakkatharappil, Jie Yu, Tanda Li, Tom\'as Ruiz-Lara, Amina Helmi
https://arxiv.org/abs/2507.01091

Precise Asteroseismic Ages for the Helmi Streams
The Helmi streams are remnants of a dwarf galaxy that was accreted by the Milky Way and whose stars now form a distinct kinematic and chemical substructure in the Galactic halo. Precisely age-dating these typically faint stars of extragalactic origin has been notoriously difficult due to the limitations of using only spectroscopic data, interferometry, or coarse asteroseismic measurements. Using observations from NASA's Transiting Exoplanet Survey Satellite, we report the detailed asteroseismic…

How Do Vision-Language Models Process Conflicting Information Across Modalities?
Tianze Hua, Tian Yun, Ellie Pavlick
https://arxiv.org/abs/2507.01790 https…

How Do Vision-Language Models Process Conflicting Information Across Modalities?
AI models are increasingly required to be multimodal, integrating disparate input streams into a coherent state representation on which subsequent behaviors and actions can be based. This paper seeks to understand how such models behave when input streams present conflicting information. Focusing specifically on vision-language models, we provide inconsistent inputs (e.g., an image of a dog paired with the caption "A photo of a cat") and ask the model to report the information present in one of…

fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 78 nodes and 375 edges.
Tags: Biological, Food web, Unweighted, Metadata

A Domain-specific Language and Architecture for Detecting Process Activities from Sensor Streams in IoT
Ronny Seiger, Daniel Locher, Marco Kaufmann, Aaron F. Kurz
https://arxiv.org/abs/2507.00686

A Domain-specific Language and Architecture for Detecting Process Activities from Sensor Streams in IoT
Modern Internet of Things (IoT) systems are equipped with a plethora of sensors providing real-time data about the current operations of their components, which is crucial for the systems' internal control systems and processes. However, these data are often too fine-grained to derive useful insights into the execution of the larger processes an IoT system might be part of. Process mining has developed advanced approaches for the analysis of business processes that may also be used in the conte…

A look at Radio Garden, a free website and app launched in 2016 as an art project, which streams feeds from 37K radio stations worldwide; the app has 3M MAUs (Sebastian Modak/Wall Street Journal)
https://www.

"AI-enhanced maps reveal hidden streams for restoration"
#AI #ArtificialIntelligence #Environment

AI-enhanced maps reveal hidden streams for restoration
A dataset unveiled today more than doubles the documented stream miles in the Chesapeake Bay Watershed, elevating the total from approximately 150,000 to nearly 350,000 miles. The Hyper-Resolution Hydrography Data used to generate the new stream maps stems from a collaboration between the University of Maryland, Baltimore County (UMBC), the Environmental Protection Agency's Chesapeake Bay Program (CBP), and the Chesapeake Conservancy (CC), including UMBC alumni at CBP and CC.

Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification
Kunlun Xu, Fan Zhuo, Jiangmeng Li, Xu Zou, Jiahuan Zhou
https://arxiv.org/abs/2507.01884

Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification
Current lifelong person re-identification (LReID) methods predominantly rely on fully labeled data streams. However, in real-world scenarios where annotation resources are limited, a vast amount of unlabeled data coexists with scarce labeled samples, leading to the Semi-Supervised LReID (Semi-LReID) problem where LReID methods suffer severe performance degradation. Existing LReID methods, even when combined with semi-supervised strategies, suffer from limited long-term adaptation performance du…

Deezer rolls out AI tagging system to fight streaming fraud; says up to 70% of streams from fully AI-generated tracks are fraudulent

Deezer rolls out AI tagging system to fight streaming fraud; says up to 70% of streams from fully AI-
Platform has introduced what it claims to be the world’s first AI tagging system for music streaming…

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique
Stephan Sturm
https://arxiv.org/abs/2506.01815

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique
We provide an introduction to the topic of path signatures as means of feature extraction for machine learning from data streams. The article stresses the mathematical theory underlying the signature methodology, highlighting the conceptual character without plunging into the technical details of rigorous proofs. These notes are based on an introductory presentation given to students of the Research Experience for Undergraduates in Industrial Mathematics and Statistics at Worcester Polytechnic …

INTACT: Compact Storage of Data Streams in Mobile Devices to Unlock User Privacy at the Edge
R\'emy Raes (SPIRALS), Olivier Ruas (SPIRALS), Adrien Luxey-Bitri (SPIRALS), Romain Rouvoy (SPIRALS)
https://arxiv.org/abs/2506.21998

INTACT: Compact Storage of Data Streams in Mobile Devices to Unlock User Privacy at the Edge
Data streams produced by mobile devices, such as smartphones, offer highly valuable sources of information to build ubiquitous services. Such data streams are generally uploaded and centralized to be processed by third parties, potentially exposing sensitive personal information. In this context, existing protection mechanisms, such as Location Privacy Protection Mechanisms (LPPMs), have been investigated. Alas, none of them have actually been implemented, nor deployed in real-life, in mobile d…

fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 83 nodes and 335 edges.
Tags: Biological, Food web, Unweighted, Metadata

Event-based Stereo Visual-Inertial Odometry with Voxel Map
Zhaoxing Zhang, Xiaoxiang Wang, Chengliang Zhang, Yangyang Guo, Zikang Yuan, Xin Yang
https://arxiv.org/abs/2506.23078

Event-based Stereo Visual-Inertial Odometry with Voxel Map
The event camera, renowned for its high dynamic range and exceptional temporal resolution, is recognized as an important sensor for visual odometry. However, the inherent noise in event streams complicates the selection of high-quality map points, which critically determine the precision of state estimation. To address this challenge, we propose Voxel-ESVIO, an event-based stereo visual-inertial odometry system that utilizes voxel map management, which efficiently filter out high-quality 3D poi…

AI-Hybrid TRNG: Kernel-Based Deep Learning for Near-Uniform Entropy Harvesting from Physical Noise
Hasan Yi\u{g}it
https://arxiv.org/abs/2507.00145 https:/…

AI-Hybrid TRNG: Kernel-Based Deep Learning for Near-Uniform Entropy Harvesting from Physical Noise
AI-Hybrid TRNG is a deep-learning framework that extracts near-uniform entropy directly from physical noise, eliminating the need for bulky quantum devices or expensive laboratory-grade RF receivers. Instead, it relies on a low-cost, thumb-sized RF front end, plus CPU-timing jitter, for training, and then emits 32-bit high-entropy streams without any quantization step. Unlike deterministic or trained artificial intelligence random number generators (RNGs), our dynamic inner-outer network coup…

Enhanced Influence-aware Group Recommendation for Online Media Propagation
Chengkun He, Xiangmin Zhou, Chen Wang, Longbing Cao, Jie Shao, Xiaodong Li, Guang Xu, Carrie Jinqiu Hu, Zahir Tari
https://arxiv.org/abs/2507.01616

Enhanced Influence-aware Group Recommendation for Online Media Propagation
Group recommendation over social media streams has attracted significant attention due to its wide applications in domains such as e-commerce, entertainment, and online news broadcasting. By leveraging social connections and group behaviours, group recommendation (GR) aims to provide more accurate and engaging content to a set of users rather than individuals. Recently, influence-aware GR has emerged as a promising direction, as it considers the impact of social influence on group decision-maki…

"Researchers launch five-year study on floating solar for farm dams"
#SolarPower #Energy #Renewables

Researchers launch five-year study on floating solar for farm dams
AgEcon Australia has launched a five-year research project to assess the feasibility of floating PV systems on farm irrigation dams in Australia, aiming to reduce water loss, lower on-farm energy costs, and create new income streams for landholders.

Meteoroid stream identification with HDBSCAN unsupervised clustering algorithm
Eloy Pe\~na-Asensio, Fabio Ferrari
https://arxiv.org/abs/2507.01501 https://…

Meteoroid stream identification with HDBSCAN unsupervised clustering algorithm
Accurate identification of meteoroid streams is central to understanding their origins and evolution. However, overlapping clusters and background noise hinder classification, an issue amplified for missions such as ESA's LUMIO that rely on meteor shower observations to infer lunar meteoroid impact parameters. This study evaluates the performance of the Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) algorithm for unsupervised meteoroid stream identification, …

Quadrature Over-the-Air-Computing for Multimodal Dual-Stream Signal Processing
Hyeon Seok Rou, Kengo Ando, Giuseppe Thadeu Freitas de Abreu, David Gonz\'alez G
https://arxiv.org/abs/2507.00508

Quadrature Over-the-Air-Computing for Multimodal Dual-Stream Signal Processing
We propose a novel quadrature over-the-air computing (Q-OTAC) framework that enables the simultaneously computation of two independent functions and/or data stream within a single transmission. In contrast to conventional OTAC schemes, where a single function is computed by treating each complex signal as a single component, the proposed Q-OTAC exploits both in-phase and quadrature (IQ) components of a complex signal, encoding two distinct functions and/or data streams at the edge devices (EDs)…

Dallas Cowboys schedule 2025: Dates, times, TV channels, live streams, tickets, scores for NFL football games https://www.sportingnews.com/us/nfl/dallas-cowboys/news/dallas-cowboys-schedule-2025-tickets-score…

Roboterwettbewerb RoboCup 2025 in Brasilien startet mit Live-Streams
Der RoboCup 2025 in Brasilien beginnt. Wettbewerbe sollen live gestreamt werden.
https://www.heise.de…

MmBack: Clock-free Multi-Sensor Backscatter with Synchronous Acquisition and Multiplexing
Yijie Li, Weichong Ling, Taiting Lu, Yi-Chao Chen, Vaishnavi Ranganathan, Lili Qiu, Jingxian Wang
https://arxiv.org/abs/2507.01360

MmBack: Clock-free Multi-Sensor Backscatter with Synchronous Acquisition and Multiplexing
Backscatter tags provide a low-power solution for sensor applications, yet many real-world scenarios require multiple sensors-often of different types-for complex sensing tasks. However, existing designs support only a single sensor per tag, increasing spatial overhead. State-of-the-art approaches to multiplexing multiple sensor streams on a single tag rely on onboard clocks or multiple modulation chains, which add cost, enlarge form factor, and remain prone to timing drift-disrupting synchroni…

Streams and Shells Decoded: A Density-Driven Approach to Stellar Clustering in Galactic Halos with AstroLink
Viraj Ekanayaka, Smrithi Gireesh Babu, William H. Oliver, Geraint F. Lewis
https://arxiv.org/abs/2507.22333

Streams and Shells Decoded: A Density-Driven Approach to Stellar Clustering in Galactic Halos with AstroLink
We present a novel method to differentiate stream-like and shell-like tidal remnants of stellar systems in galactic halos using the density-based approach of the clustering algorithm AstroLink. While previous studies lean on observation, phase-space, and action-space based criteria for stream and shell determination, we introduce AstroLink's ordered-density plot and cluster identification as a viable tool for classification. For a given data set, the AstroLink ordered-density plot reveals the d…

Council recognises right of River Test to flow unimpeded and unpolluted
#ChalkStreams #Rivers #Nature

Breaking the mould of Social Mixed Reality -- State-of-the-Art and Glossary
Marta Bie\'nkiewicz, Julia Ayache, Panayiotis Charalambous, Cristina Becchio, Marco Corragio, Bertram Taetz, Francesco De Lellis, Antonio Grotta, Anna Server, Daniel Rammer, Richard Kulpa, Franck Multon, Azucena Garcia-Palacios, Jessica Sutherland, Kathleen Bryson, St\'ephane Donikian, Didier Stricker, Beno\^it Bardy

Breaking the mould of Social Mixed Reality -- State-of-the-Art and Glossary
This article explores a critical gap in Mixed Reality (MR) technology: while advances have been made, MR still struggles to authentically replicate human embodiment and socio-motor interaction. For MR to enable truly meaningful social experiences, it needs to incorporate multi-modal data streams and multi-agent interaction capabilities. To address this challenge, we present a comprehensive glossary covering key topics such as Virtual Characters and Autonomisation, Responsible AI, Ethics by Desi…

Strict Comparisons of Infinite Utility Streams
Michael Greinecker, Michael Nielsen
https://arxiv.org/abs/2507.20567 https://arxiv.org/pdf/2507.20567…

Strict Comparisons of Infinite Utility Streams
There exists a preference relation on infinite utility streams that does not discriminate between different periods, satisfies the Pareto criterion, and so that almost all pairs of utility streams are strictly comparable. Such a preference relation provides a counterexample to a claim in [Zame, William R. ``Can intergenerational equity be operationalized?'' Theoretical Economics 2.2 (2007): 187-202.]

Active Monitoring with RTLola: A Specification-Guided Scheduling Approach
Jan Baumeister, Bernd Finkbeiner, Frederik Scheerer
https://arxiv.org/abs/2507.20615 https://

Active Monitoring with RTLola: A Specification-Guided Scheduling Approach
Stream-based monitoring is a well-established runtime verification approach which relates input streams, representing sensor readings from the monitored system, with output streams that capture filtered or aggregated results. In such approaches, the monitor is a passive external component that continuously receives sensor data from the system under observation. This setup assumes that the system dictates what data is sent and when, regardless of the monitor's current needs. However, in many app…

Deezer rolls out AI tagging system to fight streaming fraud; says up to 70% of streams from fully AI-generated tracks are fraudulent
#AI #MusicTech #NotTrustworthy

Deezer rolls out AI tagging system to fight streaming fraud; says up to 70% of streams from fully AI-
Platform has introduced what it claims to be the world’s first AI tagging system for music streaming…

"In recent times, tire wear particles have been found to account for about 45% of all microplastics in both terrestrial and aquatic systems...
Rain washes those tire wear particles into ditches, where they flow into streams, lakes, rivers and oceans...
In a recent study, we tested pine wood chips and biochar – a form or charcoal made from heating rice husks in a limited oxygen chamber, a process known as pyrolysis – and found they could remove approximately 90% of tire wear …

One of the biggest microplastic pollution sources isn’t straws or grocery bags – it’s your tires
Rain storms wash those tire shards into streams and ultimately into lakes and oceans. That’s bad news for fish and other aquatic life.

Signal Detection under Composite Hypotheses with Identical Distributions for Signals and for Noises
Yiming Xing, Anamitra Chaudhuri, Yifan Chen
https://arxiv.org/abs/2507.21692 …

Signal Detection under Composite Hypotheses with Identical Distributions for Signals and for Noises
In this paper, we consider the problem of detecting signals in multiple, sequentially observed data streams. For each stream, the exact distribution is unknown, but characterized by a parameter that takes values in either of two disjoint composite spaces depending on whether it is a signal or noise. Furthermore, we consider a practical yet underexplored setting where all signals share the same parameter, as do all noises. Compared to the unconstrained case where the parameters in all streams ar…

Data Cleaning of Data Streams
Valerie Restat, Niklas Rodenhausen, Carina Antonin, Uta St\"orl
https://arxiv.org/abs/2507.20839 https://arxiv.org/pdf/2…

Data Cleaning of Data Streams
Streaming data can arise from a variety of contexts. Important use cases are continuous sensor measurements such as temperature, light or radiation values. In the process, streaming data may also contain data errors that should be cleaned before further use. Many studies from science and practice focus on data cleaning in a static context. However, in terms of data cleaning, streaming data has particularities that distinguish it from static data. In this paper, we have therefore undertaken an i…

«The singularity is near, not because machine intelligence is suddenly surging, but because we are content to risk extinguishing the spark of human consciousness by exposing ourselves to endless streams of artificially generated bullshit.»
Nice post by @…! I've definitely noticed this when interacting with people who've been too deep into using "AI".
https://ideophone.org/bringing-about-the-singularity-by-giving-up-thinking/

Deezer says AI-made music accounts for just 0.5% of streams on the music streaming platform, but up to 70% of those streams are fraudulent (Dan Milmo/The Guardian)
https://www.theguardian.com/technology/202

My soundtrack today: https://radioparadise.com/home
(Actually, the Main Mix there is my soundtrack every day…)

An eclectic musical adventure...
Radio Paradise streams highly curated, eclectic mixes of music -- chosen by real humans -- with unparalleled audio quality.

SAM4D: Segment Anything in Camera and LiDAR Streams
Jianyun Xu, Song Wang, Ziqian Ni, Chunyong Hu, Sheng Yang, Jianke Zhu, Qiang Li
https://arxiv.org/abs/2506.21547

SAM4D: Segment Anything in Camera and LiDAR Streams
We present SAM4D, a multi-modal and temporal foundation model designed for promptable segmentation across camera and LiDAR streams. Unified Multi-modal Positional Encoding (UMPE) is introduced to align camera and LiDAR features in a shared 3D space, enabling seamless cross-modal prompting and interaction. Additionally, we propose Motion-aware Cross-modal Memory Attention (MCMA), which leverages ego-motion compensation to enhance temporal consistency and long-horizon feature retrieval, ensuring …

Anytime-Valid Tests for Sparse Anomalies
Muriel F. P\'erez-Ortiz, Rui M. Castro
https://arxiv.org/abs/2506.22588 https://arxiv.or…

Anytime-Valid Tests for Sparse Anomalies
We consider the problem of detection of sparse anomalies when monitoring a large number of data streams continuously in time. This problem is addressed using anytime-valid tests. In the context of a normal-means model and for a fixed sample, this problem is known to exhibit a nontrivial phase transition that characterizes when anomalies can and cannot be detected. We show, for the anytime-valid version of the problem, testing procedures that can detect the presence of anomalies quickly. Given t…

Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL
Hamza Ezzaoui Rahali, Abhilasha Dave, Larry Ruckman, Mohammad Mehdi Rahimifar, Audrey C. Therrien, James J. Russel, Ryan T. Herbst
https://arxiv.org/abs/2508.21739

Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL
The LCLS-II Free Electron Laser (FEL) will generate X-ray pulses for beamline experiments at rates of up to 1~MHz, with detectors producing data throughputs exceeding 1 TB/s. Managing such massive data streams presents significant challenges, as transmission and storage infrastructures become prohibitively expensive. Machine learning (ML) offers a promising solution for real-time data reduction, but conventional implementations introduce excessive latency, making them unsuitable for high-speed …

DTC: Real-Time and Accurate Distributed Triangle Counting in Fully Dynamic Graph Streams
Wei Xuan, Yan Liang, Huawei Cao, Ning Lin, Xiaochun Ye, Dongrui Fan
https://arxiv.org/abs/2508.19057

DTC: Real-Time and Accurate Distributed Triangle Counting in Fully Dynamic Graph Streams
Triangle counting is a fundamental problem in graph mining, essential for analyzing graph streams with arbitrary edge orders. However, exact counting becomes impractical due to the massive size of real-world graph streams. To address this, approximate algorithms have been developed, but existing distributed streaming algorithms lack adaptability and struggle with edge deletions. In this article, we propose DTC, a novel family of single-pass distributed streaming algorithms for global and local …

Turns out life doesn’t just imitate art
— sometimes it borrows the script, reboots it with National Guard checkpoints and streams it live from Los Angeles.
Case in point:
A Day Without a Mexican,
the cheeky 2004 sci-fi satire from Mexican filmmakers Sergio Arau and Yareli Arizmendi,
in which California wakes up to find every person of Latino descent has vanished into a mysterious haze,
leaving Angelenos panicking over who’s going to mow the lawns and run …

The Outrageous 20-Year-Old Movie That Predicted Trump’s America
In 2004 ‘A Day Without a Mexican’ was intended to be a political satire. In 2025 it seems all too real. Plus, Joel Grey auctions off his old lederhosen (and some nudes!) TikTok star Khaby Lame demands $1.2 million to talk, and Chet Hanks is a no-show at his book reading.

Tactile stimulations reduce or promote the segregation of auditory streams: psychophysics and modeling https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012701 "cross-modal synchronization, with carefully timed tactile cues, coul…

Tactile stimulations reduce or promote the segregation of auditory streams: psychophysics and modeling
Auditory stream segregation plays a crucial role in understanding the auditory scene. This study investigates the role of tactile stimulation in auditory stream segregation through psychophysics experiments and a computational model of audio-tactile interactions. We examine how tactile pulses, synchronized with one group of tones (high- or low-frequency tones) in a sequence of interleaved high- and low-frequency tones (ABA- triplets), influence the likelihood of perceiving integrated or segrega…

Unsere stärkste Kämpferin für digitale Freiheitsrechte im deutschen Bundestag!
:nd_aktuell: https://www.nd-aktuell.de/artikel/1193412.gamescom-spiele-sind-traeger-von-ideologie-genau-wie-hollywood.html

»Spiele sind Träger von Ideologie, genau wie Hollywood«
Die Sprecherin für Games der Linken im Bundestag erklärt, dass es zwischen Gamescom, Videospielen und Twitch-Streams in der Gaming-Blase nicht nur um Unterhaltung – sondern auch um politische Hegemoniefragen geht.

Oklahoma State football radio station 2025: Channels, live streams, schedule to listen to Cowboys radio broadcasts https://www.sportingnews.com/us/ncaa-football/news/oklahoma-state-football-radio-st…

Kick says it is "urgently reviewing" the circumstances of the death of a French livestreamer who was subjected to violence and sleep deprivation during streams (Tom McArthur/BBC)
https://www.bbc.com/news/articles/c1mpjplk4pxo

Investigation into 'horrifying' death of French streamer
Raphaël Graven, also known as Jeanpormanove, was found dead at a residence in Contes, a village north of Nice, prosecutors said.

For all online participants, find your Venueless access link in your order confirmation email or our email from June 13.
Our platform is user-friendly; navigate through the left menu bar for live streams of all four stages. There's a chat for comments and interaction next to the video streams, and you can switch to the Q&A function above the chat for questions to be read to the speakers. Have questions? Our Online Stage Hosts are here to help.
Thanks for joining us online…

Massive extended streamers feed high-mass young stars: #stars: https://www.kyoto-u.ac.jp/en/research-news/2025-08-21

The BBC didn't livestream Kneecap's Glastonbury set, but is facing backlash after airing Bob Vylan leading chants of "Free Palestine" and "Death to the IDF" (Andreas Wiseman/Deadline)
https://deadline.com/2025/06/glastonbu

BBC Avoids Kneecap But Live Streams Another Act Leading Crowd Chants Of “Death To The IDF” & “Free Palestine”
BBC Refuses To Show Kneecap Live But Another Act, Bob Vylan, Leads Crowd Chants Of "Death To The IDF!" & "Free Palestine!"

From Leadnow
thread 1/5 Petition
Prime Minister Mark Carney and BC Premier David Eby [should] maintain the current decision to reject the Northern Gateway oil pipeline and uphold the ban on large oil tankers off the north coast of British Columbia.
The Northern Gateway pipeline project will pose significant environmental risks, particularly regarding potential oil spills & increased greenhouse gas emissions. The pipeline would have crossed numerous rivers and streams, p…

Where to watch Raiders preseason games 2025: Full schedule, times, TV channels, live streams for Las Vegas https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/watch-raiders-preseason-games…

This one is around the corner from my office. I never suspected what it might look like on the inside.
https://www.instagram.com/zillowgonewild/p/DMMMikYumtR/

Zillow Gone Wild 🏡 on Instagram: "me: lets go to Versailles Mother: we literally have Versailles at home Follow @zillowgonewild to never miss a wild home! Link in bio for the full listing! $4,000,000 | Alexandria, VA 6 bd, 5 ba | 3,183 sq ft | 2,042 sq ft lot Currently listed via @andrea.courduvelis and @nihalala @ttrsir Zillow Gone Wild season two premieres Friday, July 18, at 9:30 pm ET/PT on HGTV and streams the next day on discovery+ and HBO Max Thanks for submitting @ratchelbuff!! Found a wild home? Submit it for a chance to be featured at zillowgonewild.com/submit!! If you see an agent posting a listing we should feature TAG US IN THEIR COMMENTS!! MID YEAR SUPPORTER DRIVE!! Patreon.com/zillowgonewild or link in bio!! If Zillow gone wild brings you joy please support us for as low as $1 a month!! We are looking for our first 100 supporters 🙏🏼🙏🏼🙏🏼"
7,636 likes, 461 comments - zillowgonewild on July 16, 2025: "me: lets go to Versailles Mother: we literally have Versailles at home Follow @zillowgonewild to never miss a wild home! Link in bio for the full listing! $4,000,000 | Alexandria, VA 6 bd, 5 ba | 3,183 sq ft | 2,042 sq ft lot Currently listed via @andrea.courduvelis and @nihalala @ttrsir Zillow Gone Wild season two premieres Friday, July 18, at 9:30 pm ET/PT on HGTV and streams the next day on discovery+ and HBO M…

HH-Codec: High Compression High-fidelity Discrete Neural Codec for Spoken Language Modeling
Rongkun Xue, Yazhe Niu, Shuai Hu, Zixin Yin, Yongqiang Yao, Jing Yang
https://arxiv.org/abs/2507.18897

HH-Codec: High Compression High-fidelity Discrete Neural Codec for Spoken Language Modeling
Discrete speech tokenization is a fundamental component in speech codecs. However, in large-scale speech-to-speech systems, the complexity of parallel streams from multiple quantizers and the computational cost of high-time-dimensional codecs pose significant challenges. In this paper, we introduce HH-Codec, a neural codec that achieves extreme compression at 24 tokens per second for 24 kHz audio while relying on single-quantizer inference. Our approach involves a carefully designed Vector Quan…

Another hole in the Flightradar map.

Comparing Quantum Machine Learning Approaches in Astrophysical Signal Detection
Mansur Ziiatdinov, Farida Farsian, Francesco Schillir\'o, Salvatore Distefano
https://arxiv.org/abs/2507.19505

Comparing Quantum Machine Learning Approaches in Astrophysical Signal Detection
Machine Learning (ML) serves as a general-purpose, highly adaptable, and versatile framework for investigating complex systems across domains. However, the resulting computational resource demands, in terms of the number of parameters and the volume of data required to train ML models, can be high, often prohibitive. This is the case in astrophysics, where multimedia space data streams usually have to be analyzed. In this context, quantum computing emerges as a compelling and promising alternat…

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts
Miguel Aspis, Sebasti\'an A. Cajas Ord\'onez, Andr\'es L. Su\'arez-Cetrulo, Ricardo Sim\'on Carbajo
https://arxiv.org/abs/2507.18464

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts
Learning from non-stationary data streams subject to concept drift requires models that can adapt on-the-fly while remaining resource-efficient. Existing adaptive ensemble methods often rely on coarse-grained adaptation mechanisms or simple voting schemes that fail to optimally leverage specialized knowledge. This paper introduces DriftMoE, an online Mixture-of-Experts (MoE) architecture that addresses these limitations through a novel co-training framework. DriftMoE features a compact neural r…

Hierarchical Graph Neural Network for Compressed Speech Steganalysis
Mustapha Hemis, Hamza Kheddar, Mohamed Chahine Ghanem, Bachir Boudraa
https://arxiv.org/abs/2507.21591 https…

Hierarchical Graph Neural Network for Compressed Speech Steganalysis
Steganalysis methods based on deep learning (DL) often struggle with computational complexity and challenges in generalizing across different datasets. Incorporating a graph neural network (GNN) into steganalysis schemes enables the leveraging of relational data for improved detection accuracy and adaptability. This paper presents the first application of a Graph Neural Network (GNN), specifically the GraphSAGE architecture, for steganalysis of compressed voice over IP (VoIP) speech streams. Th…

Correlation of Coronal Hole Area Indices and Solar Wind Speed
Egor Illarionov, Andrey Tlatov, Ivan Berezin, Nadezhda Skorbezh
https://arxiv.org/abs/2507.21641 https://

Correlation of Coronal Hole Area Indices and Solar Wind Speed
Coronal holes (CHs) are widely considered as the main sources of high-speed solar wind streams. We validate this thesis comparing the smoothed time series of solar wind speed measured by Advanced Composition Explorer (ACE) and various indices of CH areas constructed from the CH catalog compiled at the Kislovodsk Mountain Astronomical Station for the period 2010-2025. The main result is that we find specific indices of CH areas that give a strong correlation with smoothed solar wind speed variat…

Collaborative-Online-Learning-Enabled Distributionally Robust Motion Control for Multi-Robot Systems
Chao Ning, Han Wang, Longyan Li, Yang Shi
https://arxiv.org/abs/2508.17173 h…

Collaborative-Online-Learning-Enabled Distributionally Robust Motion Control for Multi-Robot Systems
This paper develops a novel COllaborative-Online-Learning (COOL)-enabled motion control framework for multi-robot systems to avoid collision amid randomly moving obstacles whose motion distributions are partially observable through decentralized data streams. To address the notable challenge of data acquisition due to occlusion, a COOL approach based on the Dirichlet process mixture model is proposed to efficiently extract motion distribution information by exchanging among robots selected lear…

Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos
Ziren Gong, Xiaohan Li, Fabio Tosi, Jiawei Han, Stefano Mattoccia, Jianfei Cai, Matteo Poggi
https://arxiv.org/abs/2507.22052

Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos
We present Ov3R, a novel framework for open-vocabulary semantic 3D reconstruction from RGB video streams, designed to advance Spatial AI. The system features two key components: CLIP3R, a CLIP-informed 3D reconstruction module that predicts dense point maps from overlapping clips while embedding object-level semantics; and 2D-3D OVS, a 2D-3D open-vocabulary semantic module that lifts 2D features into 3D by learning fused descriptors integrating spatial, geometric, and semantic cues. Unlike prio…

Two-Level Priority Coding for Resilience to Arbitrary Blockage Patterns
Mine Gokce Dogan, Abhiram Kadiyala, Jaimin Shah, Martina Cardone, Christina Fragouli
https://arxiv.org/abs/2508.16899

Two-Level Priority Coding for Resilience to Arbitrary Blockage Patterns
Ultra-reliable low-latency communication is essential in mission-critical settings, including military applications, where persistent and asymmetric link blockages caused by mobility, jamming, or adversarial attacks can disrupt delay-sensitive transmissions. This paper addresses this challenge by deploying a multilevel diversity coding (MDC) scheme that controls the received information, offers distinct reliability guarantees based on the priority of data streams, and maintains low design and o…

The Quantified Body: Identity, Empowerment, and Control in Smart Wearables
Maijunxian Wang
https://arxiv.org/abs/2506.15991 https://a…

The Quantified Body: Identity, Empowerment, and Control in Smart Wearables
In an era where bodies are increasingly rendered as streams of biometric data, smart wearables have emerged not only as tools of self-optimization but as infrastructures of predictive governance. This paper critically examines how devices such as the Apple Watch, Fitbit, and Oura Ring reconfigure bodily autonomy through feedback-driven self-surveillance, while embedding users within opaque systems of data extraction and algorithmic control. Drawing on Deleuze's concept of the control society, Z…

At this point, I’m not sure whether it’s better to warn people about buying a Tesla or not. Sure, people die horribly in them. But also, the only people buying a Tesla today are either full-on Nazis or people for whom fascism isn’t a deal breaker, so… 🤷‍♂️ https://raggedfeathers.com/@lilithsain

Tuurlijk F1.com jullie mogen per direct alle voorwaarden wijzigen. (not)
Het is ook meteen einde van mijn abonnement, 1 ipv 6 streams, doen alsof dat altijd al zo was. In twee jaar de prijs verdubbelen en hopen dat we er nog eens 50 euro bij smijten om niet kwijt te raken wat we hadden.
Val dood met je corrupte kliek

fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 69 nodes and 187 edges.
Tags: Biological, Food web, Unweighted, Metadata

Amazon stellt Freevee-App ein
Nur noch bis August funktioniert Amazons App für werbefinanzierte Streams. Es fehlt das Upsell-Potenzial.
https://www.heise.de/news/Amazon-stellt-Fr

Alpine County, perched like an emerald on the crest of the Sierra Nevada, is as rural as rural California gets.
Vast distance separates its sparse settlements, tucked among forests and crystalline streams. The views, unobstructed by city clutter, go on forever.
There is no hospital,
no supermarket, fast-food restaurant or shopping mall anywhere in its 743 square miles.
The only stoplight is temporary,
put in place for a bridge repair.
And yet if all goes …

California mystery: Why does a small rural county vote like SF?
Rural usually means Republican. But this county is a Democratic speck in California's sea of red.

Multistakeholder Fairness in Tourism: What can Algorithms learn from Tourism Management?
Peter Muellner, Anna Schreuer, Simone Kopeinik, Bernhard Wieser, Dominik Kowald
https://arxiv.org/abs/2508.20496

Multistakeholder Fairness in Tourism: What can Algorithms learn from Tourism Management?
Algorithmic decision-support systems, i.e., recommender systems, are popular digital tools that help tourists decide which places and attractions to explore. However, algorithms often unintentionally direct tourist streams in a way that negatively affects the environment, local communities, or other stakeholders. This issue can be partly attributed to the computer science community's limited understanding of the complex relationships and trade-offs among stakeholders in the real world. In thi…

PersoNo: Personalised Notification Urgency Classifier in Mixed Reality
Jingyao Zheng, Haodi Weng, Xian Wang, Chengbin Cui, Sven Mayer, Chi-lok Tai, Lik-Hang Lee
https://arxiv.org/abs/2508.19622

PersoNo: Personalised Notification Urgency Classifier in Mixed Reality
Mixed Reality (MR) is increasingly integrated into daily life, providing enhanced capabilities across various domains. However, users face growing notification streams that disrupt their immersive experience. We present PersoNo, a personalised notification urgency classifier for MR that intelligently classifies notifications based on individual user preferences. Through a user study (N=18), we created the first MR notification dataset containing both self-labelled and interaction-based data acr…

Investigating the origin of the Milky Way streams. A revised look at their orbital pole distribution in light of precession effects
Elena Asencio, Pavel Kroupa, Ingo Thies
https://arxiv.org/abs/2508.05733

Investigating the origin of the Milky Way streams. A revised look at their orbital pole distribution in light of precession effects
Stellar streams around the Milky Way (MW) can provide valuable insights into its history and substructure formation. Previous studies have suggested that several MW streams could have an origin related to that of the disc of satellite galaxies (DoS) and the young halo globular clusters of the MW, given that many of these structures present a similar orbital pole orientation. In this work we test the validity of this hypothesis by revising the orbital pole distribution of the MW streams with the…

EIFNet: Leveraging Event-Image Fusion for Robust Semantic Segmentation
Zhijiang Li, Haoran He
https://arxiv.org/abs/2507.21971 https://arxiv.org/pdf/2507.2…

EIFNet: Leveraging Event-Image Fusion for Robust Semantic Segmentation
Event-based semantic segmentation explores the potential of event cameras, which offer high dynamic range and fine temporal resolution, to achieve robust scene understanding in challenging environments. Despite these advantages, the task remains difficult due to two main challenges: extracting reliable features from sparse and noisy event streams, and effectively fusing them with dense, semantically rich image data that differ in structure and representation. To address these issues, we propose…

Intellectual Up-streams of Percentage Scale ($ps$) and Percentage Coefficient ($b_p$) -- Effect Size Analysis (Theory Paper 2)
Xinshu Zhao, Qinru Ruby Ju, Piper Liping Liu, Dianshi Moses Li, Luxi Zhang, Jizhou Francis Ye, Song Harris Ao, Ming Milano Li
https://arxiv.org/abs/2507.13695

Intellectual Up-streams of Percentage Scale ($ps$) and Percentage Coefficient ($b_p$) -- Effect Size Analysis (Theory Paper 2)
Percentage thinking, i.e., assessing quantities as parts per hundred, has traveled widely from Roman tax ledgers to modern algorithms. Building on early decimalization by Simon Stevin in La Thiende (1585) and the 19th-century metrication movement that institutionalized base-10 measurement worldwide (Cajori, 1925), this article traces the intellectual trails through which base-10 normalization, especially 0~1 percentage scale. We discuss commonalities between those Wisconsin-Carolina experiments…

Constructing Long Paths in Graph Streams
Christian Konrad, Chhaya Trehan
https://arxiv.org/abs/2508.16022 https://arxiv.org/pdf/2508.16022

Constructing Long Paths in Graph Streams
In the graph stream model of computation, an algorithm processes the edges of an input graph in one or more sequential passes while using a memory sublinear in the input size. This model poses significant challenges for constructing long paths. Many known algorithms tasked with extending an existing path as a subroutine require an entire pass to add a single additional edge. This raises a fundamental question: Are multiple passes inherently necessary to construct paths of non-trivial lengths, o…

YouTube's NFL debut will include influencer IShowSpeed, who has 43M subscribers, and three others doing "Watch With" streams, which enable live reactions (Dan Shanoff/The Athletic)
https://www.nytimes.com/athletic/6576266/2025/08/26/i…

IShowSpeed to join NFL’s YouTube debut for Week 1 Chiefs-Chargers matchup
The streaming megastar will join three other influencers available to fans through YouTube's "Watch With" alternate broadcast feed.

The Art of Hide and Seek: Making Pickle-Based Model Supply Chain Poisoning Stealthy Again
Tong Liu, Guozhu Meng, Peng Zhou, Zizhuang Deng, Shuaiyin Yao, Kai Chen
https://arxiv.org/abs/2508.19774

The Art of Hide and Seek: Making Pickle-Based Model Supply Chain Poisoning Stealthy Again
Pickle deserialization vulnerabilities have persisted throughout Python's history, remaining widely recognized yet unresolved. Due to its ability to transparently save and restore complex objects into byte streams, many AI/ML frameworks continue to adopt pickle as the model serialization protocol despite its inherent risks. As the open-source model ecosystem grows, model-sharing platforms such as Hugging Face have attracted massive participation, significantly amplifying the real-world risks of…

Where to watch Cowboys preseason games 2025: Full schedule, times, TV channels, live streams for Dallas https://www.sportingnews.com/us/nfl/dallas-cowboys/news/watch-cowboys-preseason-games-2025-sch…

CLEVER: Stream-based Active Learning for Robust Semantic Perception from Human Instructions
Jongseok Lee, Timo Birr, Rudolph Triebel, Tamim Asfour
https://arxiv.org/abs/2507.15499

CLEVER: Stream-based Active Learning for Robust Semantic Perception from Human Instructions
We propose CLEVER, an active learning system for robust semantic perception with Deep Neural Networks (DNNs). For data arriving in streams, our system seeks human support when encountering failures and adapts DNNs online based on human instructions. In this way, CLEVER can eventually accomplish the given semantic perception tasks. Our main contribution is the design of a system that meets several desiderata of realizing the aforementioned capabilities. The key enabler herein is our Bayesian for…

On Continuous Monitoring of Risk Violations under Unknown Shift
Alexander Timans, Rajeev Verma, Eric Nalisnick, Christian A. Naesseth
https://arxiv.org/abs/2506.16416

On Continuous Monitoring of Risk Violations under Unknown Shift
Machine learning systems deployed in the real world must operate under dynamic and often unpredictable distribution shifts. This challenges the validity of statistical safety assurances on the system's risk established beforehand. Common risk control frameworks rely on fixed assumptions and lack mechanisms to continuously monitor deployment reliability. In this work, we propose a general framework for the real-time monitoring of risk violations in evolving data streams. Leveraging the 'testing …

fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 71 nodes and 148 edges.
Tags: Biological, Food web, Unweighted, Metadata

Private Continual Counting of Unbounded Streams
Ben Jacobsen, Kassem Fawaz
https://arxiv.org/abs/2506.15018 https://arxiv.org/pdf/250…

Private Continual Counting of Unbounded Streams
We study the problem of differentially private continual counting in the unbounded setting where the input size $n$ is not known in advance. Current state-of-the-art algorithms based on optimal instantiations of the matrix mechanism cannot be directly applied here because their privacy guarantees only hold when key parameters are tuned to $n$. Using the common `doubling trick' avoids knowledge of $n$ but leads to suboptimal and non-smooth error. We solve this problem by introducing novel matrix…

Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective
Hao Dai, Jagmohan Chauhan
https://arxiv.org/abs/2507.17382 ht…

Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective
Continual Generalized Category Discovery (C-GCD) faces a critical challenge: incrementally learning new classes from unlabeled data streams while preserving knowledge of old classes. Existing methods struggle with catastrophic forgetting, especially when unlabeled data mixes known and novel categories. We address this by analyzing C-GCD's forgetting dynamics through a Bayesian lens, revealing that covariance misalignment between old and new classes drives performance degradation. Building on th…

Sifting for a Stream: The Morphology of the $300S$ Stellar Stream
Benjamin Cohen, Alexander P. Ji, Peter S. Ferguson, Sergey E. Koposov, Alex Drlica-Wagner, Andrew P. Li, Ting S. Li, Lara R. Cullinane, Gary S. Da Costa, Denis Erkal, Kyler Kuehn, Geraint F. Lewis, Sarah L. Martell, Andrew B. Pace, Daniel B. Zucker, Petra Awad, Joss Bland-Hawthorn, Guilherme Limberg, Clara E. Mart\'inez-V\'azquez, Joshua D. Simon, Yong Yang

Sifting for a Stream: The Morphology of the $300S$ Stellar Stream
Stellar streams are sensitive laboratories for understanding the small-scale structure in our Galaxy's gravitational field. Here, we analyze the morphology of the $300S$ stellar stream, which has an eccentric, retrograde orbit and thus could be an especially powerful probe of both baryonic and dark substructures within the Milky Way. Due to extensive background contamination from the Sagittarius stream (Sgr), we perform an analysis combining Dark Energy Camera Legacy Survey photometry, $\textit…

Hidden Risks of Switching Music Distributors
#MusicianTips
https://flip.it/wKdBCW

Hidden Risks of Switching Music Distributors
Uncover the risks of switching music distributors. Learn how to avoid losing streams and playlist placements during the process.

Newsweek launches subscriptions and expands non-advertising revenue streams, aiming to drop the ad share of its ~$90M in yearly revenue from 63% to 55% (Jessica Davies/Digiday)
https://digiday.com/media/to-beat-the-ai-squeeze-newsweek-is-building…

To beat the AI squeeze, Newsweek is building revenue beyond traffic
AI hasn’t dented Newsweek traffic. But it’s aiming to cut its reliance on digital ads from 63% to 55% of revenue next year.

EventTracer: Fast Path Tracing-based Event Stream Rendering
Zhenyang Li, Xiaoyang Bai, Jinfan Lu, Pengfei Shen, Edmund Y. Lam, Yifan Peng
https://arxiv.org/abs/2508.18071 https:…

EventTracer: Fast Path Tracing-based Event Stream Rendering
Simulating event streams from 3D scenes has become a common practice in event-based vision research, as it meets the demand for large-scale, high temporal frequency data without setting up expensive hardware devices or undertaking extensive data collections. Yet existing methods in this direction typically work with noiseless RGB frames that are costly to render, and therefore they can only achieve a temporal resolution equivalent to 100-300 FPS, far lower than that of real-world event data. In…

BrisT1D Dataset: Young Adults with Type 1 Diabetes in the UK using Smartwatches
Sam Gordon James, Miranda Elaine Glynis Armstrong, Aisling Ann O'Kane, Harry Emerson, Zahraa S. Abdallah
https://arxiv.org/abs/2507.17757

BrisT1D Dataset: Young Adults with Type 1 Diabetes in the UK using Smartwatches
Background: Type 1 diabetes (T1D) has seen a rapid evolution in management technology and forms a useful case study for the future management of other chronic conditions. Further development of this management technology requires an exploration of its real-world use and the potential of additional data streams. To facilitate this, we contribute the BrisT1D Dataset to the growing number of public T1D management datasets. The dataset was developed from a longitudinal study of 24 young adults in t…

The DECam Field of Streams: a deep view of the Milky Way halo
Peter Ferguson, Nora Shipp
https://arxiv.org/abs/2506.05469 https://arx…

The DECam Field of Streams: a deep view of the Milky Way halo
We present a Field of Streams visualizing stellar structures in the Milky Way halo as viewed by the Dark Energy Camera (DECam). We use $g$- and $r$-band imaging from the Dark Energy Survey and the DECam Legacy Survey, covering $18{,}700 °^2$ across the sky. Using an isochrone-based matched filter in $g$ vs. $g-r$, we select old and metal-poor stars in three distance bins, and generate a false-color RGB image of the number density of selected stars. The DECam Field of Streams shows a variety of…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/5]:
- Learning from Data Streams: An Overview and Update
Jesse Read, Indr\.e \v{Z}liobait\.e

Permutation patterns in streams
Benjamin Aram Berendsohn
https://arxiv.org/abs/2507.11291 https://arxiv.org/pdf/2507.11291

Permutation patterns in streams
Permutation patterns and pattern avoidance are central, well-studied concepts in combinatorics and computer science. Given two permutations $τ$ and $π$, the pattern matching problem (PPM) asks whether $τ$ contains $π$. This problem arises in various contexts in computer science and statistics and has been studied extensively in exact-, parameterized-, approximate-, property-testing- and other formulations. In this paper, we study pattern matching in a \emph{streaming setting}, when the in…

Accelerating Private Heavy Hitter Detection on Continual Observation Streams
Rayne Holland
https://arxiv.org/abs/2507.03361 https://a…

Accelerating Private Heavy Hitter Detection on Continual Observation Streams
Differentially private frequency estimation and heavy hitter detection are core problems in the private analysis of data streams. Two models are typically considered: the one-pass model, which outputs results only at the end of the stream, and the continual observation model, which requires releasing private summaries at every time step. While the one-pass model allows more efficient solutions, continual observation better reflects scenarios where timely and ongoing insights are critical. In …

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[3/5]:
- Flash-VStream: Efficient Real-Time Understanding for Long Video Streams
Haoji Zhang, Yiqin Wang, Yansong Tang, Yong Liu, Jiashi Feng, Xiaojie Jin

fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 110 nodes and 718 edges.
Tags: Biological, Food web, Unweighted, Metadata

Kick says it is "urgently reviewing" the circumstances of the death of a French livestreamer who was subjected to violence and sleep deprivation during streams (Tom McArthur/BBC)
https://www.bbc.com/news/articles/c1mpjplk4pxo

Investigation into 'horrifying' death of French streamer
Raphaël Graven, also known as Jeanpormanove, was found dead at a residence in Contes, a village north of Nice, prosecutors said.

STRRINGS: STReams in Residual Images of Nearby GalaxieS
E. Sola, D. Chemaly, V. Belokurov, O. M\"uller, A. Ardern-Arentsen, E. Y. Davies, J. Laguna-Miralles, G. Myeong, K. Panagiotakis, H. Zhang, D. Erkal, S. E. Koposov, D. Lang, J. Nibauer
https://arxiv.org/abs/2508.02154

STRRINGS: STReams in Residual Images of Nearby GalaxieS
Tidal features from galaxy mergers, particularly stellar streams, offer valuable insights into galaxy assembly and dark matter halo properties. This paper aims to identify a large sample of nearby stellar streams suitable for detailed modelling and comparison with simulations to enable population-level constraints on halo properties. We visually inspect and compile a tidal feature catalogue for $19,387$ galaxies with redshift $z \leq 0.02$ from the Siena Galaxy Atlas 2020 using original, model,…

Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
Miha O\v{z}bot, Igor \v{S}krjanc
https://arxiv.org/abs/2508.15444 https://

Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
In this paper, we propose a new measure for detecting overlap in multivariate Gaussian clusters. The aim of online learning from data streams is to create clustering, classification, or regression models that can adapt over time based on the conceptual drift of streaming data. In the case of clustering, this can result in a large number of clusters that may overlap and should be merged. Commonly used distribution dissimilarity measures are not adequate for determining overlapping clusters in th…

fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 105 nodes and 343 edges.
Tags: Biological, Food web, Unweighted, Metadata

Accreted Globular Clusters and Horizontal Branch Morphology in the Outer Halo of M31
Gracie McGill, Annette M. N. Ferguson, Dougal Mackey, Avon P. Huxor, Geraint F. Lewis, Nicolas F. Martin, Alan W. McConnachie, Charli M. Sakari, Nial R. Tanvir, Kim A. Venn
https://arxiv.org/abs/2506.21267…

Accreted Globular Clusters and Horizontal Branch Morphology in the Outer Halo of M31
M31 hosts a rich population of outer halo ($R_{\rm{proj}} > 25$ kpc) globular clusters (GCs), many of which show strong evidence for spatial and/or kinematical associations with large-scale tidal debris features. We present deep Hubble Space Telescope photometry of 48 halo GCs, including 18 with clear ties to stellar streams and 13 with potential associations. Using the colour-magnitude diagrams (CMDs), we quantify the horizontal branch (HB) morphologies and employ new empirical relationships, …

Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras
Lingdong Kong, Dongyue Lu, Ao Liang, Rong Li, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau
https://arxiv.org/abs/2507.17664

Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras
Event cameras offer microsecond-level latency and robustness to motion blur, making them ideal for understanding dynamic environments. Yet, connecting these asynchronous streams to human language remains an open challenge. We introduce Talk2Event, the first large-scale benchmark for language-driven object grounding in event-based perception. Built from real-world driving data, we provide over 30,000 validated referring expressions, each enriched with four grounding attributes -- appearance, sta…

Towards Trustworthy AI: Secure Deepfake Detection using CNNs and Zero-Knowledge Proofs
H M Mohaimanul Islam, Huynh Q. N. Vo, Aditya Rane
https://arxiv.org/abs/2507.17010 https:/…

Towards Trustworthy AI: Secure Deepfake Detection using CNNs and Zero-Knowledge Proofs
In the era of synthetic media, deepfake manipulations pose a significant threat to information integrity. To address this challenge, we propose TrustDefender, a two-stage framework comprising (i) a lightweight convolutional neural network (CNN) that detects deepfake imagery in real-time extended reality (XR) streams, and (ii) an integrated succinct zero-knowledge proof (ZKP) protocol that validates detection results without disclosing raw user data. Our design addresses both the computational c…

fresh_webs: Freshwater stream webs
A set of 26 networks of trophic-level species interactions in streams in New Zealand, Maine and North Carolina. Networks include the identities of aquatic insect, algae and fish species and their trophic interactions. Excel and plain text adjacency matrices available; webs can be downloaded individually or as a group.
This network has 71 nodes and 155 edges.
Tags: Biological, Food web, Unweighted, Metadata

Sources: senior BBC executives are considering charging US consumers for access to its journalism to boost revenues amid falling UK license fee incomes (Michael Savage/The Guardian)
https://www.theguardian.com/media/2025/jun

Forbes reshuffles its leadership team and forms an AI & Strategic Platforms Group to identify future revenue streams and grow its brand across social platforms (Chris Roush/Talking Biz News)
https://talkingbiznews.com/media-news/forbes-shuffles-le…

Forbes shuffles leadership, aiming for more growth - Talking Biz News
Forbes announced changes to its leadership on Monday, looking to boost its future growth and artificial intelligence opportunities. Nina Gould was promoted to chief innovation officer, overseeing Forbes’ technology and product businesses. She will oversee Forbes’ technology, product and product design, data and business intelligence, audience growth and development, accolades and eCommerce businesses and brand […]