Tootfinder

WPP rolls out WPP Open Pro, a self-serve version of WPP Open, its AI-powered marketing platform that helps marketers build campaigns and develop creative assets (Kendra Barnett/Adweek)
https://www.adweek.com/agencies/wpp-launch…

WPP Launches a Self-Serve Version of Its AI Platform To Court Small Biz Dollars
British advertising titan WPP is rolling out a self-serve version of WPP Open, its AI marketing platform. 

Zijn hier debatten over geweest? Die heb ik dan gemist
https://www.autoblog.nl/nieuws/nederland-eerste-eu-land-waar-tesla-full-self-driving-legaal-is-7182233

Deblock, an app that lets users manage fiat and digital assets in one place by linking a bank account with a self-owned crypto wallet, raised a €30M Series A (Tamara Djurickovic/Tech.eu)
https://tech.eu/2025/11/19/deblock-secures-eur30m-series…

Deblock secures €30M Series A to expand on-chain banking in Europe
French crypto-banking startup Deblock has secured €30 million in Series A funding led by Speedinvest, alongside CommerzVentures and Latitude. Existing investors 20VC, Headline, Chalfen Ventures, and Kraken Ventures also participated in the round. Deblock offers a fully on-chain banking solution in Europe that combines features of a traditional bank account with on-chain self-custody. By linking a euro current account with a personal, self-owned crypto wallet, the platform allows users t…

Cowboys overcome self-inflicted wounds vs. Eagles for future-altering win, keep playoff hopes alive

https://www.cbssports.com/nfl/news/cowboys

Tesla influencers just tried Elon Musk’s coast-to-coast self-driving challenge from 2017, crashed before 60 miles | Electrek https://electrek.co/2025/09/21/tesla-influencers-tried-elon-musk-coast-to-coast-self-driving-crashed-be…

RoSe: Robust Self-supervised Stereo Matching under Adverse Weather Conditions
Yun Wang, Junjie Hu, Junhui Hou, Chenghao Zhang, Renwei Yang, Dapeng Oliver Wu
https://arxiv.org/abs/2509.19165

Here's my latest Human Meme podcast about self-awareness and consciousness:
https://humanmeme.com/the-mirror-and-the-machine-a-meditation-on-consciousness-and-self-awareness

On self-similarity of finitely generated torsion-free nilpotent groups
Adilson Berlatto, Tulio Santos
https://arxiv.org/abs/2509.16947 https://arxiv.org/pd…

On self-similarity of finitely generated torsion-free nilpotent groups
This paper aims to investigate the self-similarity property in finitely-generated torsion-free nilpotent groups. We establish connections between geometric equivalence and self-similarity in these groups. Moreover, we show that any 2-generated torsion-free nilpotent group of class 3 has a faithful representation as a transitive self-similar group. Additionally, we provide an example of a 4-generated torsion-free nilpotent group of class 3 that does not admit such a representation. This example,…

from my link log —
Advanced self-aware ed(1).
https://aartaka.me/advanc-ed.html
saved 2025-10-22 https://dotat.at/:/IPPZT.html

Advanced Self-Aware ed(1)
ed(1) is a versatile programming system. Yet no one talks about metaprogramming and algorithms in it. Now someone did, and that’s me!

Self-embeddings of homogeneous self-similar sets generated by three maps
Zhiqiang Wang
https://arxiv.org/abs/2509.18202 https://arxiv.org/pdf/2509.18202

Self-embeddings of homogeneous self-similar sets generated by three maps
For $0< ρ< 1/3$ and $ρ\le λ\le 1-2ρ$, let $E$ be the self-similar set generated by the iterated function system $$Φ= \big\{ φ_1(x) = ρx ,\; φ_2(x) = ρx + λ, \; φ_3(x) = ρx + 1- ρ\big\}.$$ All contractive similitudes $f$ with $f(E) \subset E$ are characterized: one can find $i_1, i_2, \ldots, i_n \in \{1,2,3\}$ such that \[ f(E)=φ_{i_1} \circ φ_{i_2} \circ \cdots \circ φ_{i_n} (E). \]

An overview of neural architectures for self-supervised audio representation learning from masked spectrograms
Sarthak Yadav, Sergios Theodoridis, Zheng-Hua Tan
https://arxiv.org/abs/2509.18691

Extracting Higgs Self-Coupling Constraints through Triple Higgs Boson Production at Future Hadron Colliders
Benjamin Fuks, Andreas Papaefstathiou, Gilberto Tetlalmatzi-Xolocotzi
https://arxiv.org/abs/2509.16364

Extracting Higgs Self-Coupling Constraints through Triple Higgs Boson Production at Future Hadron Colliders
We present a systematic study of triple Higgs boson production at future high-energy hadron colliders, using the six-$b$-jet final state as a probe of the Higgs self-interactions. We conduct, under realistic detector smearing assumptions, both a traditional cut-based analysis, and a multivariate one using gradient boosting. The multivariate strategy is found to enhance sensitivity to beyond the Standard Model effects on the Higgs boson's self-couplings, while preserving large signal event yield…

Second-order self-force potential-region binary dynamics at $O(G^5)$ in supergravity
Zvi Bern, Enrico Herrmann, Radu Roiban, Michael S. Ruf, Alexander V. Smirnov, Vladimir A. Smirnov, Mao Zeng
https://arxiv.org/abs/2509.17412

Second-order self-force potential-region binary dynamics at $O(G^5)$ in supergravity
We compute the potential-graviton contributions to the conservative scattering angle of two non-spinning bodies in maximal supergravity at fifth order in Newton's constant, including second-order self-force effects. Our goal is to tackle the challenging integrals arising at this order in Einstein gravity, but within the technically simpler framework of supergravity. The calculation employs the scattering-amplitude framework, effective field theory, and multi-loop integration techniques based on…

Closed Walks Of Low Dimension And Twisted Moments On Self-Loop Graphs
Johnny Lim
https://arxiv.org/abs/2509.17035 https://arxiv.org/pdf/2509.17035

Closed Walks Of Low Dimension And Twisted Moments On Self-Loop Graphs
Let $G_S$ be a graph with loops attached at each vertex in $S \subseteq V(G).$ In this article, we develop exact formulae for the number of closed $3$- and $4$-walks on $G_S$ in terms of vertex degrees and certain elementary subgraphs of $G_S.$ We then derive the specific closed walks formulae for several graph families such as complete bipartite self-loop graphs, complete graphs, cycle graphs, etc. We demonstrate that such invariants are non-trivial in $G_S,$ which otherwise may be trivial in …

Self-similar blowup for mass supercritical Schr\"odinger equations
Roland Donninger, Lorenz Lichtnecker
https://arxiv.org/abs/2509.16600 https://arxiv…

Self-similar blowup for mass supercritical Schrödinger equations
We consider the focusing nonlinear Schrödinger equation in three spatial dimensions with powers close to three and prove the existence of a self-similar solution. This generalizes a previous result on the cubic case and shows that self-similar blowup is stable under perturbations of the equation.

Capitalism is just one witty ad campaign after another until we suddenly find ourselves extinct due to self-inflicted habitat loss. https://mastodon.online/@pluszysta/115428982968522861

GlassWorm: First Self-Propagating Worm Using Invisible Code Hits OpenVSX Marketplace
A month after Shai Hulud became the first self-propagating worm in the npm ecosystem, we just discovered the world's first worm targeting VS Code extensions on OpenVSX marketplace.
🐛 https://www.

GlassWorm: First Self-Propagating Worm Using Invisible Code Hits OpenVSX Marketplace | Koi Blog

Dynamics of the $N$-body system in energy-momentum squared gravity: II. Existence of a Self-Acceleration
Elham Nazari
https://arxiv.org/abs/2509.17017 https://

Dynamics of the $N$-body system in energy-momentum squared gravity: II. Existence of a Self-Acceleration
We investigate the post-Newtonian (PN) dynamics of energy-momentum squared gravity (EMSG), with particular emphasis on the possibility of self-acceleration in $N$-body systems. A central challenge in matter-type modified gravity theories, including EMSG, is the non-vanishing divergence of the energy-momentum tensor, arising from the nonminimal interaction between the standard and modified matter fields. This feature can, in principle, influence the $N$-body dynamics. In our previous work [1], i…

IDfRA: Self-Verification for Iterative Design in Robotic Assembly
Nishka Khendry, Christos Margadji, Sebastian W. Pattinson
https://arxiv.org/abs/2509.16998 https://

IDfRA: Self-Verification for Iterative Design in Robotic Assembly
As robots proliferate in manufacturing, Design for Robotic Assembly (DfRA), which is designing products for efficient automated assembly, is increasingly important. Traditional approaches to DfRA rely on manual planning, which is time-consuming, expensive and potentially impractical for complex objects. Large language models (LLM) have exhibited proficiency in semantic interpretation and robotic task planning, stimulating interest in their application to the automation of DfRA. But existing met…

Whistling of turbulent cavity flows: Self-consistent predictions with the linearized compressible Navier-Stokes equations
Nikolaos Bozikis, Dilara \"Ozev, Nicolas Noiray
https://arxiv.org/abs/2509.17986

Whistling of turbulent cavity flows: Self-consistent predictions with the linearized compressible Navier-Stokes equations
A self-consistent saturation model for the prediction of aeroacoustic limit cycles emerging in turbulent low-Mach cavity flows (Re=O(10^5), M\simeq 0.2) is proposed. It predicts the nonlinear interactions between the acoustic modes of a deep rectangular cavity and the hydrodynamic instabilities of the turbulent shear-layer that forms over its opening due to the presence of a grazing flow. The model is based on the triple decomposition of the flow variables and the compressible Navier-Stokes equ…

Analysing the prevalence of tidal features in HSC-SSP using self-supervised representation learning
A. Desmons, S. Brough, F. Lanusse, L. Canepa, A. Khalid
https://arxiv.org/abs/2509.18274

Chinese state media: China's new five-year development plan aims to achieve tech self-reliance and expand the domestic market, after a four-day CCP conclave (Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-23/…

Robust self-testing of quantum steering assemblages via operator inequalities
Beata Zjawin
https://arxiv.org/abs/2509.15699 https://arxiv.org/pdf/2509.1569…

Robust self-testing of quantum steering assemblages via operator inequalities
Robust self-testing provides a framework for certifying quantum resources under experimental imperfections. Improving robustness bounds for quantum resources such as quantum states, steering assemblages, and measurements is a constant effort that ensures relevance in the experimental realm. Despite progress in analytic self-testing methods for quantum states and measurements, extending these techniques to device-independent certification of steering assemblages has remained an open challenge, w…

"I actually think acting is a form of self-hypnosis. You have to be hyper, hyper aware of what's going on around you. You have to know where the lens is, what the shot is, and where you're moving. And then you have to trick yourself into an emotional state where you believe this stuff is actually happening."
—Julianne Moore
#acting

3 Takeaways: Defense rescued Cowboys from self-inflicted wounds vs PHI https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/11/24/cowboys-eagles-3-takeaways-week-12/87442214007/

Michail Chkhikvishvili,
a self-described cult leader who called himself “Commander Butcher”,
did not look like a Hollywood vision of a contemporary terrorist,
despite the bizarre, almost made-for-TV extremist actions he planned,
such as having people dressed as Santa Claus hand out poison candies on the streets of New York.
Chkhikvishvili appeared in a Brooklyn court last week as one might find an office IT tech:
close-cropped hair and black-rimmed glasses…

Alleged Scattered Spider member turns self in to Las Vegas police https://therecord.media/las-vegas-arrest-scattered-spider-suspect-turns-self-in

citeseer: CiteSeer citations (2014)
Citations among papers indexed by the CiteSeer digital library. If a paper i cites a paper j also in this data set, then a directed edge connects i to j. (Papers not in the data set are excluded.) Self-loops may be present.
This network has 384413 nodes and 1751463 edges.
Tags: Informational, Citation, Unweighted

Optimized self-adaptive PID speed control for autonomous vehicles
Yassine Kebbati, Naima Ait-Oufroukh, Vincent Vigneron, Dalil Ichalal, Dominique Gruyer
https://arxiv.org/abs/2509.17214

Optimized self-adaptive PID speed control for autonomous vehicles
The main control tasks in autonomous vehicles are steering (lateral) and speed (longitudinal) control. PID controllers are widely used in the industry because of their simplicity and good performance, but they are difficult to tune and need additional adaptation to control nonlinear systems with varying parameters. In this paper, the longitudinal control task is addressed by implementing adaptive PID control using two different approaches: Genetic Algorithms (GA-PID) and then Neural Networks (N…

Any reading recommendations for a small collective looking to move from google dependency to self-hosting?
We're collecting some resources here:
https://doc.patternclub.org/s/QCwRlvO1A#

Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training
Brown Ebouky, Ajad Chhatkuli, Cristiano Malossi, Christoph Studer, Roy Assaf, Andrea Bartezzaghi
https://arxiv.org/abs/2509.17816

Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training
Self-supervised learning (SSL) has emerged as a central paradigm for training foundation models by leveraging large-scale unlabeled datasets, often producing representations with strong generalization capabilities. These models are typically pre-trained on general-purpose datasets such as ImageNet and subsequently adapted to various downstream tasks through finetuning. While recent advances have explored parameter-efficient strategies for adapting pre-trained models, extending SSL pre-training …

Huh, how time flies. 6 or 7 years ago, at the OER Foundation, for whom I work as Open Source Technologist, we decided to replace our MailChimp with, eventually, a self-hosted instance of Mautic (https://mautic.org) to communicate with learners taking courses in our online open university courses (

Self-Tuned Rejection Sampling within Gibbs and a Case Study in Small Area Estimation
Andrew M. Raim, Kyle M. Irimata, James A. Livsey
https://arxiv.org/abs/2509.17155 https://…

Self-Tuned Rejection Sampling within Gibbs and a Case Study in Small Area Estimation
When preparing a Gibbs sampler, some conditionals may be unfamiliar distributions without well-known variate generation routines. Rejection sampling may be used to draw from such distributions exactly; however, it can be challenging to obtain practical proposal distributions. A practical proposal is one where accepted draws are not extremely rare occurrences and which is not too computationally intensive to use repeatedly within the Gibbs sampler. Consequently, approximate methods such as Metro…

I had not planned on touching the #homelab today but gitea has gone and forgejo is in
https://forgejo.org/

Linking Young Stellar Object Morphology to Evolutionary Stages with Self-Organizing Maps
David Hernandez, Odysseas Dionatos, Marc Audard, G\'abor Marton, Julia Roquette, Ilknur Gezer, M\'at\'e Madar\'asz, Kai L. Polsterer
https://arxiv.org/abs/2509.19069

Linking Young Stellar Object Morphology to Evolutionary Stages with Self-Organizing Maps
Studies in the past few decades have investigated young stellar object evolution based on their spectral energy distribution (SED). The SED is heavily influenced not only by evolutionary stage, but also the morphology of the young star. This work is part of the NEMESIS project which is aiming to revisit star formation with the aid of machine learning techniques and provides the framework for this work. In a first effort towards a novel spectro-morphological classification we analyzed young stel…

It's #MusicWomenWednesday again, and the self titled debut EP by Spike (the synthpop project of UK artist Hannah McLoughlin) is a treat. The first track is a wild, synthy cover of Warren Zevon's 'Werewolves of London', and the other tracks are excellent catchy earworms full of cool hooks. An EP that goes by too fast. Would love an LP of this.

"Self-hosting DNS for no fun, but a little profit!" – Morten Linderud
https://linderud.dev/blog/self-hosting-dns-for-no-fun-but-a-little-profit/

Hey fedi. I have a secret I've been keeping. I've lived in the dark for so long, hiding myself in self-loathing, and I can't do it anymore.
I am sexually fixated on Blackwater's kamikaze drones. The phallic nature of the tip its wings curve to, the build in intensity as they approach their target. The climax. Oh the climax. Kaboom, baby.
My first encounter with one was how it obliterated my family's home when I was four, by accident, en route to the president…

The team I've cheered my whole life failed once again to make it all the way through October (but they got close!). So while my neighbors would call it fish and chips, we're having what any self-respecting Brewers fan knows is called fish fry for Game 1 - it is Friday, after all. Go Jays Go!
#baseball #WorldSeries

Revolutionizing construction with supercool cement: eco-friendly, cost-effective, and game-changing. #climatechange #climatesolutions #climate

Researchers develop incredible 'supercool' material that could revolutionize construction: 'Unparalleled advantages'
Scientists in China have developed a self-cooling cement that scatters sunlight rather than absorbs it.

SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework
Yuan Gao, Yiming Liu, Runze Yu, Shengli Liu, Yanliang Jin, Shunqing Zhang, Shugong Xu, Xiaoli Chu
https://arxiv.org/abs/2509.17797

SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework
Fluid antenna systems (FAS) signify a pivotal advancement in 6G communication by enhancing spectral efficiency and robustness. However, obtaining accurate channel state information (CSI) in FAS poses challenges due to its complex physical structure. Traditional methods, such as pilot-based interpolation and compressive sensing, are not only computationally intensive but also lack adaptability. Current extrapolation techniques relying on rigid parametric models do not accommodate the dynamic env…

"We are now at a critical juncture. We are at or very close to human caused environmental change that will fundamentally unpick the life-sustaining systems on Earth. These risk triggering feedback loops...
Ultimately that could cause the planet to drift away along the pathway to “hothouse Earth”, a scenario where even if emissions were reduced, self amplifying feedback loops would drive global temperature increases up to or even beyond 5°C"

ok my self esteem issues have been cured and im no longer stressed
I prolly should be! but im not

Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
Kijung Yoon
https://arxiv.org/abs/2509.17174 https://

Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
Inferring synaptic connectivity from neural population activity is a fundamental challenge in computational neuroscience, complicated by partial observability and mismatches between inference models and true circuit dynamics. In this study, we propose a graph-based neural inference model that simultaneously predicts neural activity and infers latent connectivity by modeling neurons as interacting nodes in a graph. The architecture features two distinct modules: one for learning structural conne…

Went to a staged reading of Orwell's 1984. They had a well selected set of pieces from the text. Overall it was doubleplus good.
I had forgotten how well Orwell predicted our present el cheato government, plus our self-created monitoring overloads - Facebook, smart phones that track everything, even Wikipedia which, due to editors promoting their view of the world, starts to resemble the Ministry of Truth.
Afterwords we all chatted - and to my mind too many of the responses…

Chunk Based Speech Pre-training with High Resolution Finite Scalar Quantization
Yun Tang, Cindy Tseng
https://arxiv.org/abs/2509.15579 https://arxiv.org/pd…

Chunk Based Speech Pre-training with High Resolution Finite Scalar Quantization
Low latency speech human-machine communication is becoming increasingly necessary as speech technology advances quickly in the last decade. One of the primary factors behind the advancement of speech technology is self-supervised learning. Most self-supervised learning algorithms are designed with full utterance assumption and compromises have to made if partial utterances are presented, which are common in the streaming applications. In this work, we propose a chunk based self-supervised learn…

Les organisations scientifiques tirent la sonnette d'alarme sur la relation directe entre la dépendance aux écrans et l'anxiété, la dépression et, dans les cas les plus extrêmes, les tendances suicidaires.
https://en…

💖 ✨ 🌈 :bisexual_pride: 🏳️‍⚧️ :genderfluid_flag: :nonbinary_flag: :heart_trans: 🏳️‍🌈
Hey y'all, just a little reminder for those who already know and a heads‑up for anyone new, I’m non‑binary and out here living my best self!
#LGBTQIA #NonBinary

😳 Peter Thiel’s off-the-record antichrist lectures reveal more about him than Armageddon
https://www.theguardian.com/technology/ng-interactive/2025/oct/10/peter-thiel-antichrist-lectures

Me and some bots made a small Hiera implementation that is focussed on being single file contained.
I am on and off working on super minimal configuration management for Choria Autonomous Agents and I want a agent focussed on a single app to fetch from a single KV key it self-contained configuration that includes Hiera like overrides.
So this is a step toward that, a tiny small scoped Hiera.

Training Flow Matching Models with Reliable Labels via Self-Purification
Hyeongju Kim, Yechan Yu, June Young Yi, Juheon Lee
https://arxiv.org/abs/2509.19091 https://

Sounds about right.
"Two of these Tesla shareholders and online influencers attempted to undertake a coast-to-coast drive between San Diego, CA, and Jacksonville, FL, in a Tesla Model Y equipped with the latest FSD software update.
They didn’t make it out of California without crashing into easily avoidable road debris that badly damaged the Tesla Model Y."
#Tesla #TeslaFSD

Please help me solve an argument about properties of the bubble I live in:
If you are given 7 sticks (eg. wooden, 2m, ⌀3cm), would you know how to build some 3-dimensional self-supported structure out of them without any tools or materials?

"What do you lose by using Facebook", asked a friend who is keen to keep his account there for some reason.
What made me leave was the manipulation. I mean: they started hiding your friends posts in order to show you adverts instead! Feeding you slop from their promoted posts and "viral" messages (that aren't actually boosted by anyone, just picked out by their megaphone to show to everyone).
If you let the algorithm determine what you see than you let it determine what you are, who you become.
Even if you think it's better at finding shiny things than you, even if you think it builds the parasocial relationships that you want, even if you think it's saving you time to let the robot manage your reading-list: if you are letting Facebook, or any algorithm written by advertisers, do your reading selection then you are letting Facebook decide who you are.
On behalf of the advertisers who bribe them the most.
This is why you gotta use RSS. You gotta use the chronological timelines not the "for you" feeds. You gotta build follow relationships that you choose and understand because otherwise, you are letting the corporation and it's systems determine these things. You are abdicating some control of your very self to the machine.
Not to mention that we have to stop feeding money to the evil multi-trillion dollar companies built to control and manipulate us through our relationships with our friends. They have enough money, they need less participation not more.
#fediverse #algorithm

Survivors, Complainers, and Borderliners: Upward Bias in Online Discussions of Academic Conference Reviews
Hangxiao Zhu, Yian Yin, Yu Zhang
https://arxiv.org/abs/2509.16831 http…

Survivors, Complainers, and Borderliners: Upward Bias in Online Discussions of Academic Conference Reviews
Online discussion platforms, such as community Q&A sites and forums, have become important hubs where academic conference authors share and seek information about the peer review process and outcomes. However, these discussions involve only a subset of all submissions, raising concerns about the representativeness of the self-reported review scores. In this paper, we conduct a systematic study comparing the review score distributions of self-reported submissions in online discussions (based on …

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Self Scientific:
🎵 Return
#SelfScientific
https://open.spotify.com/track/7IxIO1FS4VZmxyYuSGw9ea

🔊 #NowPlaying on #BBCRadio3:
#InTune
- Petroc interviews Self Esteem
Petroc Trelawny is joined by pop singer and musician Self Esteem who is guest curator of London Literature Festival, and there's live music from percussionist James Larter.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002kshz

Buccaneers vs. Rams NFL player props, SGP: Self-learning AI backs Baker Mayfield Over 242.5 yards on 'SNF'

https://www.cbssports.com/nfl/news/buccane

RoboSense Founder: One Problem With Elon Musk's Self-Driving Approach - Business Insider
https://www.businessinsider.com/robosense-steven-qiu-elon-musk-self-driving-lidar-camera-problem-2025-10

I have successfully self-deported back to Ireland

Sonnet 001 - I
From fairest creatures we desire increase,
That thereby beauty's rose might never die,
But as the riper should by time decease,
His tender heir might bear his memory:
But thou contracted to thine own bright eyes,
Feed'st thy light's flame with self-substantial fuel,
Making a famine where abundance lies,
Thy self thy foe, to thy sweet self too cruel:
Thou that art now the world's fresh ornament,
And onl…

A Multidimensional Self-Adaptive Numerical Simulation Framework for Semiconductor Boltzmann Transport Equation
Zeyu Zhang, Xiaoyu Zhang, Zhigang Song, Qing Fang
https://arxiv.org/abs/2509.15879

A Multidimensional Self-Adaptive Numerical Simulation Framework for Semiconductor Boltzmann Transport Equation
This research addresses the numerical simulation of the Boltzmann transport equation for semiconductor devices by proposing a multidimensional self-adaptive numerical simulation framework. This framework is applied to two important generalized forms of the equation: a parabolic equation with singular properties on the unit disk and a continuity equation. The study enhances the alignment of numerical simulations with physical characteristics through polar coordinate transformation and variable d…

"I don't like my avatar": Investigating Human Digital Doubles
Siyi Liu, Kazi Injamamul Haque, Zerrin Yumak
https://arxiv.org/abs/2509.17748 https://

"I don't like my avatar": Investigating Human Digital Doubles
Creating human digital doubles is becoming easier and much more accessible to everyone using consumer grade devices. In this work, we investigate how avatar style (realistic vs cartoon) and avatar familiarity (self, acquaintance, unknown person) affect self/other-identification, perceived realism, affinity and social presence with a controlled offline experiment. We created two styles of avatars (realistic-looking MetaHumans and cartoon-looking ReadyPlayerMe avatars) and facial animations stimu…

DiskMINT: Self-Consistent Thermochemical Disk Models with Radially Varying Gas and Dust -- Application to the Massive, CO-Rich Disk of IM Lup
Dingshan Deng, Uma Gorti, Ilaria Pascucci, Maxime Ruaud
https://arxiv.org/abs/2509.15487

DiskMINT: Self-Consistent Thermochemical Disk Models with Radially Varying Gas and Dust -- Application to the Massive, CO-Rich Disk of IM Lup
Disks around young stars are the birthplaces of planets, and the spatial distribution of their gas and dust masses is critical for understanding where and what types of planets can form. We present self-consistent thermochemical disk models built with DiskMINT, which extends its initial framework to allow for spatially decoupled gas and dust distributions. DiskMINT calculates the gas temperature based on thermal equilibrium with dust grains, solves vertical gas hydrostatic equilibrium, and incl…

It is okay not to fight all the fights all at once.
Nowadays you may feel the urge to boycott ten different companies, stop using certain services, self-host a billion things, consume specific products, save energy in a certain way, and so on.
If you can do all that, great.
If not, it is okay.

SMART-3D: Three-Dimensional Self-Morphing Adaptive Replanning Tree
Priyanshu Agrawal, Shalabh Gupta, Zongyuan Shen
https://arxiv.org/abs/2509.16812 https://

SMART-3D: Three-Dimensional Self-Morphing Adaptive Replanning Tree
This paper presents SMART-3D, an extension of the SMART algorithm to 3D environments. SMART-3D is a tree-based adaptive replanning algorithm for dynamic environments with fast moving obstacles. SMART-3D morphs the underlying tree to find a new path in real-time whenever the current path is blocked by obstacles. SMART-3D removed the grid decomposition requirement of the SMART algorithm by replacing the concept of hot-spots with that of hot-nodes, thus making it computationally efficient and scal…

📦 No file size limits - conversion speed depends only on your device's power. No upload caps or bandwidth restrictions.
🎨 Modern UI built with #Svelte and #TypeScript for fast, intuitive experience. Snappy interface that feels great to use.
🎬 Video conversion via self-hostabl…

Yea I can’t imagine why anyone thought this dipshit was defending rape…I mean aside from the over half a dozen posts where he defended rape as “not immoral”, literally said “No. In fact, the word "rape"…didn't even exist until the 1800s.” and arguing that being “owned”* wasn’t “horrific”
Complete mystery why people went after him, must be some weird BlueSky thing. 😂
JFC

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/11]:
- PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality
Byeongho Yu, Changhun Lee, Jungyu Jin, Eunhyeok Park

G\"odel Mirror: A Formal System For Contradiction-Driven Recursion
Jhet Chan
https://arxiv.org/abs/2509.16239 https://arxiv.org/pdf/2509.16239

Gödel Mirror: A Formal System For Contradiction-Driven Recursion
We introduce the Gödel Mirror, a formal system defined in Lean 4 that treats contradiction as a control signal for recursive structural evolution. Inspired by Gödelian self-reference, our system's operational semantics encode symbolic paradoxes as deterministic transitions. Unlike systems designed to guarantee normalization, the Gödel Mirror is a minimal and verifiable architecture that leverages a controlled, non-terminating loop as a productive feature. Our Lean 4 mechanization proves …

SingLEM: Single-Channel Large EEG Model
Jamiyan Sukhbaatar, Satoshi Imamura, Ibuki Inoue, Shoya Murakami, Kazi Mahmudul Hassan, Seungwoo Han, Ingon Chanpornpakdi, Toshihisa Tanaka
https://arxiv.org/abs/2509.17920

SingLEM: Single-Channel Large EEG Model
Current deep learning models for electroencephalography (EEG) are often task-specific and depend on large labeled datasets, limiting their adaptability. Although emerging foundation models aim for broader applicability, their rigid dependence on fixed, high-density multi-channel montages restricts their use across heterogeneous datasets and in missing-channel or practical low-channel settings. To address these limitations, we introduce SingLEM, a self-supervised foundation model that learns rob…

What if we could hot swap our Biometrics?
Jon Crowcroft, Anil Madhavapeddy, Chris Hicks, Richard Mortier, Vasilios Mavroudis
https://arxiv.org/abs/2509.17962 https://

What if we could hot swap our Biometrics?
What if you could really revoke your actual biometric identity, and install a new one, by live rewriting your biological self? We propose some novel mechanisms for hot swapping identity based in novel biotechnology. We discuss the potential positive use cases, and negative consequences if such technology was to become available and affordable. Biometrics are selected on the basis that they are supposed to be unfakeable, or at least not at reasonable cost. If they become easier to fake, it may b…

«Even among self-described “ecosocialists,” the lives of animals are often treated as an afterthought. We can, and must, do better.»
The Left Has Failed Animals
https://www.currentaffairs.org/news/the-left-has-failed-animals

Navigating Equity and Reflexive Practices in Gigwork Design: A Journey Mapping Experience
Alicia E. Boyd, Danielle Cummings, Angie Zhang
https://arxiv.org/abs/2509.16808 https:/…

Navigating Equity and Reflexive Practices in Gigwork Design: A Journey Mapping Experience
How do we create ethical and equitable experiences on global platforms? How might UX designers and developers incorporate reflexive practices--a continuous self-evaluation of one's assumptions and biases--to mitigate assumptions and workers' experience? This tutorial will explore ways to build equitable user experiences using gig work platforms as a target use case. With the rise of gig work platforms, the informal digital economy has altered how algorithmic systems manage occasional workers; i…

Don't miss today's Metacurity for the most critical infosec developments you should know, including
--A bona fide self-replicating worm has infected 187 npm packages,
--BreachForums founder hit with new three-year sentence,
--Coinbase beach suspect accused of participating in $500k bribery scheme,
--DHS intelligence arm exposed sensitive database,
--MSFT seized 338 sites linked to Raccoon0365 stealer,
--DeepSeek is biased against Falun Gong and oth…

A self-replicating worm has infected 187 npm packages
BreachForums founder hit with new three-year sentence, Coinbase breach suspect accused of participating in $500k+ bribery scheme, DHS intelligence arm exposed sensitive database, MSFT seized 338 sites linked to Raccoon0365 stealer, DeepSeek is biased against Falun Gong and others, much more

Trump's world view: cynical, self-interested and money-grabbing (Financial Times)
https://www.ft.com/content/8ccf437f-4551-474c-b09d-8057d616e7b1
http://www.memeorandum.com/251122/p28#a251122p28

Blind-Spot Guided Diffusion for Self-supervised Real-World Denoising
Shen Cheng, Haipeng Li, Haibin Huang, Xiaohong Liu, Shuaicheng Liu
https://arxiv.org/abs/2509.16091 https://…

Blind-Spot Guided Diffusion for Self-supervised Real-World Denoising
In this work, we present Blind-Spot Guided Diffusion, a novel self-supervised framework for real-world image denoising. Our approach addresses two major challenges: the limitations of blind-spot networks (BSNs), which often sacrifice local detail and introduce pixel discontinuities due to spatial independence assumptions, and the difficulty of adapting diffusion models to self-supervised denoising. We propose a dual-branch diffusion framework that combines a BSN-based diffusion branch, generati…

A look at India's $18.2B chipmaking push, with 10 projects across six states to cut import reliance, as experts question if talent and investment are enough (Priyanka Salve/CNBC)
https://www.cnbc.com/2025/09/23/india-is-bett…

India is betting $18 billion to build a chip powerhouse. Here’s what it means
India dreams of being self-sufficient in terms of semiconductors has seen it invest heavily to attract global chip companies. But success has been uneven.

A survey on the resolvent convergence
Joaquim Duran
https://arxiv.org/abs/2509.17687 https://arxiv.org/pdf/2509.17687…

A survey on the resolvent convergence
This chapter deals with the notion of the resolvent of a self-adjoint operator. We pay special attention to the convergence of unbounded self-adjoint operators in several resolvent senses, and how they are related to the convergence of their spectra. We also explore the relations that these notions of convergence have with the so-called strong graph limit, $G$-convergence, and $Γ$-convergence.

SONAR: Self-Distilled Continual Pre-training for Domain Adaptive Audio Representation
Yizhou Zhang, Yuan Gao, Wangjin Zhou, Zicheng Yuan, Keisuke Imoto, Tatsuya Kawahara
https://arxiv.org/abs/2509.15703

SONAR: Self-Distilled Continual Pre-training for Domain Adaptive Audio Representation
Self-supervised learning (SSL) on large-scale datasets like AudioSet has become the dominant paradigm for audio representation learning. While the continuous influx of new, unlabeled audio presents an opportunity to enrich these static representations, a naive approach is to retrain the model from scratch using all available data. However, this method is computationally prohibitive and discards the valuable knowledge embedded in the previously trained model weights. To address this inefficiency…

Concept Unlearning in Large Language Models via Self-Constructed Knowledge Triplets
Tomoya Yamashita, Yuuki Yamanaka, Masanori Yamada, Takayuki Miura, Toshiki Shibahara, Tomoharu Iwata
https://arxiv.org/abs/2509.15621

Concept Unlearning in Large Language Models via Self-Constructed Knowledge Triplets
Machine Unlearning (MU) has recently attracted considerable attention as a solution to privacy and copyright issues in large language models (LLMs). Existing MU methods aim to remove specific target sentences from an LLM while minimizing damage to unrelated knowledge. However, these approaches require explicit target sentences and do not support removing broader concepts, such as persons or events. To address this limitation, we introduce Concept Unlearning (CU) as a new requirement for LLM unl…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- Without Paired Labeled Data: End-to-End Self-Supervised Learning for Drone-view Geo-Localization
Zhongwei Chen, Zhao-Xu Yang, Hai-Jun Rong, Guoqi Li

Crosslisted article(s) found for cs.CR. https://arxiv.org/list/cs.CR/new
[1/1]:
- Self-Supervised Learning of Graph Representations for Network Intrusion Detection
Lorenzo Guerra, Thomas Chapuis, Guillaume Duc, Pavlo Mozharovskyi, Van-Tam Nguyen

Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration
Xingmei Wang, Xiaoyu Hu, Chengkai Huang, Ziyan Zeng, Guohao Nie, Quan Z. Sheng, Lina Yao
https://arxiv.org/abs/2509.15882

Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration
Bridging 2D and 3D sensor modalities is critical for robust perception in autonomous systems. However, image-to-point cloud (I2P) registration remains challenging due to the semantic-geometric gap between texture-rich but depth-ambiguous images and sparse yet metrically precise point clouds, as well as the tendency of existing methods to converge to local optima. To overcome these limitations, we introduce CrossI2P, a self-supervised framework that unifies cross-modal learning and two-stage reg…

I hadn't had a drink in ages and don't particularly feel like changing this. But otherwise this could be an amazing self-research project for my Spanish learning!
«The 2025 #IgNobel Peace Prize went to researchers who proved a popular myth: a small dose of #alcohol can improve foreign language pronunciation!»
https://mstdn.science/@serhii/115241769055871087

Chargers vs. Vikings NFL player props: Self-learning AI backs Carson Wentz over 222.5 passing yards on TNF

https://www.cbssports.com/nfl/news/chargers-vikin…

Trust Me, I Can Convince You: The Contextualized Argument Appraisal Framework
Lynn Greschner, Sabine Weber, Roman Klinger
https://arxiv.org/abs/2509.17844 https://

Trust Me, I Can Convince You: The Contextualized Argument Appraisal Framework
Emotions, which influence how convincing an argument is, are developed in context of the self and sender, and therefore require modeling the cognitive evaluation process. While binary emotionality has been studied in argument mining, and the cognitive appraisal has been modeled in general emotion analysis, these fields have not been brought together yet. We therefore propose the Contextualized Argument Appraisal Framework that contextualizes the interplay between the sender, recei…

SOE: Sample-Efficient Robot Policy Self-Improvement via On-Manifold Exploration
Yang Jin, Jun Lv, Han Xue, Wendi Chen, Chuan Wen, Cewu Lu
https://arxiv.org/abs/2509.19292 https:…

Towards Sharper Object Boundaries in Self-Supervised Depth Estimation
Aur\'elien Cecille, Stefan Duffner, Franck Davoine, R\'emi Agier, Thibault Neveu
https://arxiv.org/abs/2509.15987

Towards Sharper Object Boundaries in Self-Supervised Depth Estimation
Accurate monocular depth estimation is crucial for 3D scene understanding, but existing methods often blur depth at object boundaries, introducing spurious intermediate 3D points. While achieving sharp edges usually requires very fine-grained supervision, our method produces crisp depth discontinuities using only self-supervision. Specifically, we model per-pixel depth as a mixture distribution, capturing multiple plausible depths and shifting uncertainty from direct regression to the mixture w…

UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
Xiaoqi Zhao, Youwei Pang, Chenyang Yu, Lihe Zhang, Huchuan Lu, Shijian Lu, Georges El Fakhri, Xiaofeng Liu
https://arxiv.org/abs/2509.16170

UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
Multi-modal image segmentation faces real-world deployment challenges from incomplete/corrupted modalities degrading performance. While existing methods address training-inference modality gaps via specialized per-combination models, they introduce high deployment costs by requiring exhaustive model subsets and model-modality matching. In this work, we propose a unified modality-relax segmentation network (UniMRSeg) through hierarchical self-supervised compensation (HSSC). Our approach hierarch…

Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehicles
Yassine Kebbati, Naima Ait-Oufroukh, Vincent Vigneron, Dalil Ichala
https://arxiv.org/abs/2509.17213

Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehicles
Self-driving cars operate in constantly changing environments and are exposed to a variety of uncertainties and disturbances. These factors render classical controllers ineffective, especially for lateral control. Therefore, an adaptive MPC controller is designed in this paper for the path tracking task, tuned by an improved particle swarm optimization algorithm. Online parameter adaptation is performed using Neural Networks and ANFIS. The designed controller showed promising results compared t…

China is racing ahead of the rest of the world in the adoption of robovans, despite limitations like slow speeds; Neolix has deployed 10,000 robovans so far (Wataru Suzuki/Nikkei Asia)
https://asia.nikkei.com/business/techn

China races ahead in robovans even as autonomous delivery challenges remain
Neolix says it has deployed 10,000 of the self-driving vehicles in industry milestone

Rodgers: Playing status will be 'a safety thing' https://www.espn.com/nfl/story/_/id/47027050/steelers-aaron-rodgers-able-protect-self-play

Proactive-reactive detection and mitigation of intermittent faults in robot swarms
Sinan O\u{g}uz, Emanuele Garone, Marco Dorigo, Mary Katherine Heinrich
https://arxiv.org/abs/2509.19246

Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation
Sherwin Bahmani, Tianchang Shen, Jiawei Ren, Jiahui Huang, Yifeng Jiang, Haithem Turki, Andrea Tagliasacchi, David B. Lindell, Zan Gojcic, Sanja Fidler, Huan Ling, Jun Gao, Xuanchi Ren
https://arxiv.org/abs/2509.19296

Self-learning AI releases NFL picks, score predictions every Week 12 game

https://www.cbssports.com/nfl/news/nfl-week-12-ai-picks-score-predictions-best-bets-today/…

Enhancing the NAO: Extending Capabilities of Legacy Robots for Long-Term Research
Austin Wilson, Sahar Kapasi, Zane Greene, Alexis E. Block
https://arxiv.org/abs/2509.17760 http…

Enhancing the NAO: Extending Capabilities of Legacy Robots for Long-Term Research
Many research groups face challenges when legacy (unsupported) robotic platforms lose manufacturer support and cannot accommodate modern sensing, speech, and interaction capabilities. We present the Enhanced NAO, a revitalized version of Aldebaran's NAO robot that uses upgraded microphones, RGB-D and thermal cameras, and additional compute resources in a fully self-contained package. This system combines cloud and local models for perception and dialogue, while preserving the NAO's expressive b…

Self-learning AI reveals NFL against the spread, over/under and money-line picks for every Week 8, 2025 game

https://www.cbssports.com/nfl/news/nfl-against-the-spread-ov…

Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers
Chaehyun Kim, Heeseong Shin, Eunbeen Hong, Heeji Yoon, Anurag Arnab, Paul Hongsuck Seo, Sunghwan Hong, Seungryong Kim
https://arxiv.org/abs/2509.18096

Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers
Text-to-image diffusion models excel at translating language prompts into photorealistic images by implicitly grounding textual concepts through their cross-modal attention mechanisms. Recent multi-modal diffusion transformers extend this by introducing joint self-attention over concatenated image and text tokens, enabling richer and more scalable cross-modal alignment. However, a detailed understanding of how and where these attention maps contribute to image generation remains limited. In thi…

Can multimodal representation learning by alignment preserve modality-specific information?
Romain Thoreau, Jessie Levillain, Dawa Derksen
https://arxiv.org/abs/2509.17943 https…

Can multimodal representation learning by alignment preserve modality-specific information?
Combining multimodal data is a key issue in a wide range of machine learning tasks, including many remote sensing problems. In Earth observation, early multimodal data fusion methods were based on specific neural network architectures and supervised learning. Ever since, the scarcity of labeled data has motivated self-supervised learning techniques. State-of-the-art multimodal representation learning techniques leverage the spatial alignment between satellite data from different modalities acqu…